BOINC AI Hub API | Hub Python Library

BaApi Client

Below is the documentation for the BaApi class, which serves as a Python wrapper for the BOINC AI Hub’s API.

All methods from the BaApi are also accessible from the package’s root directly. Both approaches are detailed below.

Using the root method is more straightforward but the class gives you more flexibility. In particular, you can pass a token that will be reused in all HTTP calls. This is different than boinc ai-cli login or as the token is not persisted on the machine. It is also possible to provide a different endpoint or configure a custom user-agent.

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from boincai_hub import HfApi, list_models

# Use root method
models = list_models()

# Or configure a HfApi client
hf_api = HfApi(
    endpoint="https://boincai.com", # Can be a Private Hub endpoint.
    token="hf_xxx", # Token is not persisted on the machine.
)
models = hf_api.list_models()

HfApi

class boincai_hub.HfApi

( endpoint: Optional[str] = Nonetoken: Optional[str] = Nonelibrary_name: Optional[str] = Nonelibrary_version: Optional[str] = Noneuser_agent: Union[Dict, str, None] = None )

add_collection_item

( collection_slug: stritem_id: stritem_type: CollectionItemType_Tnote: Optional[str] = Noneexists_ok: bool = Falsetoken: Optional[str] = None )

Parameters

collection_slug (str) — Slug of the collection to update. Example: "TheBloke/recent-models-64f9a55bb3115b4f513ec026".
item_id (str) — ID of the item to add to the collection. It can be the ID of a repo on the Hub (e.g. "facebook/bart-large-mnli") or a paper id (e.g. "2307.09288").
item_type (str) — Type of the item to add. Can be one of "model", "dataset", "space" or "paper".
note (str, optional) — A note to attach to the item in the collection. The maximum size for a note is 500 characters.
exists_ok (bool, optional) — If True, do not raise an error if item already exists.
token (str, optional) — BOINC AI token. Will default to the locally saved token if not provided.

Add an item to a collection on the Hub.

Returns:

Example:

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>>> from boincai_hub import add_collection_item
>>> collection = add_collection_item(
...     collection_slug="davanstrien/climate-64f99dc2a5067f6b65531bab",
...     item_id="pierre-loic/climate-news-articles",
...     item_type="dataset"
... )
>>> collection.items[-1].item_id
"pierre-loic/climate-news-articles"
# ^item got added to the collection on last position

# Add item with a note
>>> add_collection_item(
...     collection_slug="davanstrien/climate-64f99dc2a5067f6b65531bab",
...     item_id="datasets/climate_fever",
...     item_type="dataset"
...     note="This dataset adopts the FEVER methodology that consists of 1,535 real-world claims regarding climate-change collected on the internet."
... )
(...)

add_space_secret

( repo_id: strkey: strvalue: strdescription: Optional[str] = Nonetoken: Optional[str] = None )

Parameters

repo_id (str) — ID of the repo to update. Example: "bigcode/in-the-stack".
key (str) — Secret key. Example: "GITHUB_API_KEY"
value (str) — Secret value. Example: "your_github_api_key".
description (str, optional) — Secret description. Example: "Github API key to access the Github API".
token (str, optional) — BOINC AI token. Will default to the locally saved token if not provided.

Adds or updates a secret in a Space.

Secrets allow to set secret keys or tokens to a Space without hardcoding them. For more details, see .

add_space_variable

( repo_id: strkey: strvalue: strdescription: Optional[str] = Nonetoken: Optional[str] = None )

Parameters

repo_id (str) — ID of the repo to update. Example: "bigcode/in-the-stack".
key (str) — Variable key. Example: "MODEL_REPO_ID"
value (str) — Variable value. Example: "the_model_repo_id".
description (str) — Description of the variable. Example: "Model Repo ID of the implemented model".
token (str, optional) — BOINC AI token. Will default to the locally saved token if not provided.

Adds or updates a variable in a Space.

Variables allow to set environment variables to a Space without hardcoding them. For more details, see

change_discussion_status

( repo_id: strdiscussion_num: intnew_status: Literal[('open', 'closed')]token: Optional[str] = Nonecomment: Optional[str] = Nonerepo_type: Optional[str] = None ) →

Parameters

repo_id (str) — A namespace (user or an organization) and a repo name separated by a /.
discussion_num (int) — The number of the Discussion or Pull Request . Must be a strictly positive integer.
new_status (str) — The new status for the discussion, either "open" or "closed".
comment (str, optional) — An optional comment to post with the status change.
repo_type (str, optional) — Set to "dataset" or "space" if uploading to a dataset or space, None or "model" if uploading to a model. Default is None.
token (str, optional) — An authentication token (See )

Returns

the status change event

Closes or re-opens a Discussion or Pull Request.

Examples:

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>>> new_title = "New title, fixing a typo"
>>> HfApi().rename_discussion(
...     repo_id="username/repo_name",
...     discussion_num=34
...     new_title=new_title
... )
# DiscussionStatusChange(id='deadbeef0000000', type='status-change', ...)

Raises the following errors:

if the HuggingFace API returned an error
if some parameter value is invalid
If the repository to download from cannot be found. This may be because it doesn’t exist, or because it is set to private and you do not have access.

comment_discussion

( repo_id: strdiscussion_num: intcomment: strtoken: Optional[str] = Nonerepo_type: Optional[str] = None ) →

Parameters

repo_id (str) — A namespace (user or an organization) and a repo name separated by a /.
discussion_num (int) — The number of the Discussion or Pull Request . Must be a strictly positive integer.
comment (str) — The content of the comment to create. Comments support markdown formatting.
repo_type (str, optional) — Set to "dataset" or "space" if uploading to a dataset or space, None or "model" if uploading to a model. Default is None.
token (str, optional) — An authentication token (See )

Returns

the newly created comment

Creates a new comment on the given Discussion.

Examples:

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>>> comment = """
... Hello @otheruser!
...
... # This is a title
...
... **This is bold**, *this is italic* and ~this is strikethrough~
... And [this](http://url) is a link
... """

>>> HfApi().comment_discussion(
...     repo_id="username/repo_name",
...     discussion_num=34
...     comment=comment
... )
# DiscussionComment(id='deadbeef0000000', type='comment', ...)

Raises the following errors:

if the HuggingFace API returned an error
if some parameter value is invalid
If the repository to download from cannot be found. This may be because it doesn’t exist, or because it is set to private and you do not have access.

create_branch

( repo_id: strbranch: strrevision: Optional[str] = Nonetoken: Optional[str] = Nonerepo_type: Optional[str] = Noneexist_ok: bool = False )

Parameters

repo_id (str) — The repository in which the branch will be created. Example: "user/my-cool-model".
branch (str) — The name of the branch to create.
revision (str, optional) — The git revision to create the branch from. It can be a branch name or the OID/SHA of a commit, as a hexadecimal string. Defaults to the head of the "main" branch.
token (str, optional) — Authentication token. Will default to the stored token.
repo_type (str, optional) — Set to "dataset" or "space" if creating a branch on a dataset or space, None or "model" if tagging a model. Default is None.
exist_ok (bool, optional, defaults to False) — If True, do not raise an error if branch already exists.

Raises

or or

— If repository is not found (error 404): wrong repo_id/repo_type, private but not authenticated or repo does not exist.
— If invalid reference for a branch. Ex: refs/pr/5 or ‘refs/foo/bar’.
— If the branch already exists on the repo (error 409) and exist_ok is set to False.

Create a new branch for a repo on the Hub, starting from the specified revision (defaults to main). To find a revision suiting your needs, you can use or .

create_collection

( title: strnamespace: Optional[str] = Nonedescription: Optional[str] = Noneprivate: bool = Falseexists_ok: bool = Falsetoken: Optional[str] = None )

Parameters

title (str) — Title of the collection to create. Example: "Recent models".
namespace (str, optional) — Namespace of the collection to create (username or org). Will default to the owner name.
description (str, optional) — Description of the collection to create.
private (bool, optional) — Whether the collection should be private or not. Defaults to False (i.e. public collection).
exists_ok (bool, optional) — If True, do not raise an error if collection already exists.
token (str, optional) — Hugging Face token. Will default to the locally saved token if not provided.

Create a new Collection on the Hub.

Returns:

Example:

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>>> from huggingface_hub import create_collection
>>> collection = create_collection(
...     title="ICCV 2023",
...     description="Portfolio of models, papers and demos I presented at ICCV 2023",
... )
>>> collection.slug
"username/iccv-2023-64f9a55bb3115b4f513ec026"

create_commit

( repo_id: stroperations: Iterable[CommitOperation]commit_message: strcommit_description: Optional[str] = Nonetoken: Optional[str] = Nonerepo_type: Optional[str] = Nonerevision: Optional[str] = Nonecreate_pr: Optional[bool] = Nonenum_threads: int = 5parent_commit: Optional[str] = Nonerun_as_future: bool = False ) → or Future

Parameters

repo_id (str) — The repository in which the commit will be created, for example: "username/custom_transformers"
operations (Iterable of CommitOperation()) — An iterable of operations to include in the commit, either:
- to upload a file
- to delete a file
- to copy a file
Operation objects will be mutated to include information relative to the upload. Do not reuse the same objects for multiple commits.
commit_message (str) — The summary (first line) of the commit that will be created.
commit_description (str, optional) — The description of the commit that will be created
token (str, optional) — Authentication token, obtained with HfApi.login method. Will default to the stored token.
repo_type (str, optional) — Set to "dataset" or "space" if uploading to a dataset or space, None or "model" if uploading to a model. Default is None.
revision (str, optional) — The git revision to commit from. Defaults to the head of the "main" branch.
create_pr (boolean, optional) — Whether or not to create a Pull Request with that commit. Defaults to False. If revision is not set, PR is opened against the "main" branch. If revision is set and is a branch, PR is opened against this branch. If revision is set and is not a branch name (example: a commit oid), an RevisionNotFoundError is returned by the server.
num_threads (int, optional) — Number of concurrent threads for uploading files. Defaults to 5. Setting it to 2 means at most 2 files will be uploaded concurrently.
parent_commit (str, optional) — The OID / SHA of the parent commit, as a hexadecimal string. Shorthands (7 first characters) are also supported. If specified and create_pr is False, the commit will fail if revision does not point to parent_commit. If specified and create_pr is True, the pull request will be created from parent_commit. Specifying parent_commit ensures the repo has not changed before committing the changes, and can be especially useful if the repo is updated / committed to concurrently.
run_as_future (bool, optional) — Whether or not to run this method in the background. Background jobs are run sequentially without blocking the main thread. Passing run_as_future=True will return a object. Defaults to False.

Returns

or Future

Instance of containing information about the newly created commit (commit hash, commit url, pr url, commit message,…). If run_as_future=True is passed, returns a Future object which will contain the result when executed.

Raises

ValueError or

— If commit message is empty.
— If parent commit is not a valid commit OID.
— If the Hub API returns an HTTP 400 error (bad request)
— If create_pr is True and revision is neither None nor "main".
— If repository is not found (error 404): wrong repo_id/repo_type, private but not authenticated or repo does not exist.

Creates a commit in the given repo, deleting & uploading files as needed.

The input list of CommitOperation will be mutated during the commit process. Do not reuse the same objects for multiple commits.

create_commit assumes that the repo already exists on the Hub. If you get a Client error 404, please make sure you are authenticated and that repo_id and repo_type are set correctly. If repo does not exist, create it first using .

create_commit is limited to 25k LFS files and a 1GB payload for regular files.

create_commits_on_pr

( repo_id: straddition_commits: List[List[CommitOperationAdd]]deletion_commits: List[List[CommitOperationDelete]]commit_message: strcommit_description: Optional[str] = Nonetoken: Optional[str] = Nonerepo_type: Optional[str] = Nonemerge_pr: bool = Truenum_threads: int = 5verbose: bool = False ) → str

Parameters

repo_id (str) — The repository in which the commits will be pushed. Example: "username/my-cool-model".
addition_commits (List of List of ) — A list containing lists of . Each sublist will result in a commit on the PR.
deletion_commits — A list containing lists of . Each sublist will result in a commit on the PR. Deletion commits are pushed before addition commits.
commit_message (str) — The summary (first line) of the commit that will be created. Will also be the title of the PR.
commit_description (str, optional) — The description of the commit that will be created. The description will be added to the PR.
token (str, optional) — Authentication token, obtained with HfApi.login method. Will default to the stored token.
repo_type (str, optional) — Set to "dataset" or "space" if uploading to a dataset or space, None or "model" if uploading to a model. Default is None.
merge_pr (bool) — If set to True, the Pull Request is merged at the end of the process. Defaults to True.
num_threads (int, optional) — Number of concurrent threads for uploading files. Defaults to 5.
verbose (bool) — If set to True, process will run on verbose mode i.e. print information about the ongoing tasks. Defaults to False.

Returns

str

URL to the created PR.

Raises

MultiCommitException

MultiCommitException — If an unexpected issue occur in the process: empty commits, unexpected commits in a PR, unexpected PR description, etc.

Push changes to the Hub in multiple commits.

Commits are pushed to a draft PR branch. If the upload fails or gets interrupted, it can be resumed. Progress is tracked in the PR description. At the end of the process, the PR is set as open and the title is updated to match the initial commit message. If merge_pr=True is passed, the PR is merged automatically.

All deletion commits are pushed first, followed by the addition commits. The order of the commits is not guaranteed as we might implement parallel commits in the future. Be sure that your are not updating several times the same file.

create_commits_on_pr is experimental. Its API and behavior is subject to change in the future without prior notice.

create_commits_on_pr assumes that the repo already exists on the Hub. If you get a Client error 404, please make sure you are authenticated and that repo_id and repo_type are set correctly. If repo does not exist, create it first using .

Example:

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>>> from huggingface_hub import HfApi, plan_multi_commits
>>> addition_commits, deletion_commits = plan_multi_commits(
...     operations=[
...          CommitOperationAdd(...),
...          CommitOperationAdd(...),
...          CommitOperationDelete(...),
...          CommitOperationDelete(...),
...          CommitOperationAdd(...),
...     ],
... )
>>> HfApi().create_commits_on_pr(
...     repo_id="my-cool-model",
...     addition_commits=addition_commits,
...     deletion_commits=deletion_commits,
...     (...)
...     verbose=True,
... )

create_discussion

( repo_id: strtitle: strtoken: Optional[str] = Nonedescription: Optional[str] = Nonerepo_type: Optional[str] = Nonepull_request: bool = False )

Parameters

repo_id (str) — A namespace (user or an organization) and a repo name separated by a /.
title (str) — The title of the discussion. It can be up to 200 characters long, and must be at least 3 characters long. Leading and trailing whitespaces will be stripped.
token (str, optional) — An authentication token (See )
description (str, optional) — An optional description for the Pull Request. Defaults to "Discussion opened with the huggingface_hub Python library"
pull_request (bool, optional) — Whether to create a Pull Request or discussion. If True, creates a Pull Request. If False, creates a discussion. Defaults to False.
repo_type (str, optional) — Set to "dataset" or "space" if uploading to a dataset or space, None or "model" if uploading to a model. Default is None.

Creates a Discussion or Pull Request.

Pull Requests created programmatically will be in "draft" status.

Creating a Pull Request with changes can also be done at once with .

Returns:

Raises the following errors:

if the HuggingFace API returned an error
if some parameter value is invalid
If the repository to download from cannot be found. This may be because it doesn’t exist, or because it is set to private and you do not have access.

create_pull_request

( repo_id: strtitle: strtoken: Optional[str] = Nonedescription: Optional[str] = Nonerepo_type: Optional[str] = None )

Parameters

repo_id (str) — A namespace (user or an organization) and a repo name separated by a /.
title (str) — The title of the discussion. It can be up to 200 characters long, and must be at least 3 characters long. Leading and trailing whitespaces will be stripped.
token (str, optional) — An authentication token (See )
description (str, optional) — An optional description for the Pull Request. Defaults to "Discussion opened with the huggingface_hub Python library"
repo_type (str, optional) — Set to "dataset" or "space" if uploading to a dataset or space, None or "model" if uploading to a model. Default is None.

Creates a Pull Request . Pull Requests created programmatically will be in "draft" status.

Creating a Pull Request with changes can also be done at once with ;

This is a wrapper around .

Returns:

Raises the following errors:

if the HuggingFace API returned an error
if some parameter value is invalid
If the repository to download from cannot be found. This may be because it doesn’t exist, or because it is set to private and you do not have access.

create_repo

( repo_id: strtoken: Optional[str] = Noneprivate: bool = Falserepo_type: Optional[str] = Noneexist_ok: bool = Falsespace_sdk: Optional[str] = Nonespace_hardware: Optional[SpaceHardware] = Nonespace_storage: Optional[SpaceStorage] = Nonespace_sleep_time: Optional[int] = Nonespace_secrets: Optional[List[Dict[str, str]]] = Nonespace_variables: Optional[List[Dict[str, str]]] = None ) →

Parameters

repo_id (str) — A namespace (user or an organization) and a repo name separated by a /.
token (str, optional) — An authentication token (See )
private (bool, optional, defaults to False) — Whether the model repo should be private.
repo_type (str, optional) — Set to "dataset" or "space" if uploading to a dataset or space, None or "model" if uploading to a model. Default is None.
exist_ok (bool, optional, defaults to False) — If True, do not raise an error if repo already exists.
space_sdk (str, optional) — Choice of SDK to use if repo_type is “space”. Can be “streamlit”, “gradio”, “docker”, or “static”.
space_hardware (SpaceHardware or str, optional) — Choice of Hardware if repo_type is “space”. See for a complete list.
space_storage (SpaceStorage or str, optional) — Choice of persistent storage tier. Example: "small". See for a complete list.
space_sleep_time (int, optional) — Number of seconds of inactivity to wait before a Space is put to sleep. Set to -1 if you don’t want your Space to sleep (default behavior for upgraded hardware). For free hardware, you can’t configure the sleep time (value is fixed to 48 hours of inactivity). See for more details.
space_secrets (List[Dict[str, str]], optional) — A list of secret keys to set in your Space. Each item is in the form {"key": ..., "value": ..., "description": ...} where description is optional. For more details, see .
space_variables (List[Dict[str, str]], optional) — A list of public environment variables to set in your Space. Each item is in the form {"key": ..., "value": ..., "description": ...} where description is optional. For more details, see .

Returns

URL to the newly created repo. Value is a subclass of str containing attributes like endpoint, repo_type and repo_id.

Create an empty repo on the HuggingFace Hub.

create_tag

( repo_id: strtag: strtag_message: Optional[str] = Nonerevision: Optional[str] = Nonetoken: Optional[str] = Nonerepo_type: Optional[str] = Noneexist_ok: bool = False )

Parameters

repo_id (str) — The repository in which a commit will be tagged. Example: "user/my-cool-model".
tag (str) — The name of the tag to create.
tag_message (str, optional) — The description of the tag to create.
revision (str, optional) — The git revision to tag. It can be a branch name or the OID/SHA of a commit, as a hexadecimal string. Shorthands (7 first characters) are also supported. Defaults to the head of the "main" branch.
token (str, optional) — Authentication token. Will default to the stored token.
repo_type (str, optional) — Set to "dataset" or "space" if tagging a dataset or space, None or "model" if tagging a model. Default is None.
exist_ok (bool, optional, defaults to False) — If True, do not raise an error if tag already exists.

Raises

or or

— If repository is not found (error 404): wrong repo_id/repo_type, private but not authenticated or repo does not exist.
— If revision is not found (error 404) on the repo.
— If the branch already exists on the repo (error 409) and exist_ok is set to False.

Tag a given commit of a repo on the Hub.

dataset_info

( repo_id: strrevision: Optional[str] = Nonetimeout: Optional[float] = Nonefiles_metadata: bool = Falsetoken: Optional[Union[bool, str]] = None ) →

Parameters

repo_id (str) — A namespace (user or an organization) and a repo name separated by a /.
revision (str, optional) — The revision of the dataset repository from which to get the information.
timeout (float, optional) — Whether to set a timeout for the request to the Hub.
files_metadata (bool, optional) — Whether or not to retrieve metadata for files in the repository (size, LFS metadata, etc). Defaults to False.
token (bool or str, optional) — A valid authentication token (see ). If None or True and machine is logged in (through huggingface-cli login or ), token will be retrieved from the cache. If False, token is not sent in the request header.

Returns

The dataset repository information.

Get info on one specific dataset on huggingface.co.

Dataset can be private if you pass an acceptable token.

Raises the following errors:

If the repository to download from cannot be found. This may be because it doesn’t exist, or because it is set to private and you do not have access.
If the revision to download from cannot be found.

delete_branch

( repo_id: strbranch: strtoken: Optional[str] = Nonerepo_type: Optional[str] = None )

Parameters

repo_id (str) — The repository in which a branch will be deleted. Example: "user/my-cool-model".
branch (str) — The name of the branch to delete.
token (str, optional) — Authentication token. Will default to the stored token.
repo_type (str, optional) — Set to "dataset" or "space" if creating a branch on a dataset or space, None or "model" if tagging a model. Default is None.

Raises

— If repository is not found (error 404): wrong repo_id/repo_type, private but not authenticated or repo does not exist.
— If trying to delete a protected branch. Ex: main cannot be deleted.
— If trying to delete a branch that does not exist.

Delete a branch from a repo on the Hub.

delete_collection

( collection_slug: strmissing_ok: bool = Falsetoken: Optional[str] = None )

Parameters

collection_slug (str) — Slug of the collection to delete. Example: "TheBloke/recent-models-64f9a55bb3115b4f513ec026".
missing_ok (bool, optional) — If True, do not raise an error if collection doesn’t exists.
token (str, optional) — Hugging Face token. Will default to the locally saved token if not provided.

Delete a collection on the Hub.

Example:

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>>> from huggingface_hub import delete_collection
>>> collection = delete_collection("username/useless-collection-64f9a55bb3115b4f513ec026", missing_ok=True)

This is a non-revertible action. A deleted collection cannot be restored.

delete_collection_item

( collection_slug: stritem_object_id: strmissing_ok: bool = Falsetoken: Optional[str] = None )

Parameters

collection_slug (str) — Slug of the collection to update. Example: "TheBloke/recent-models-64f9a55bb3115b4f513ec026".
item_object_id (str) — ID of the item in the collection. This is not the id of the item on the Hub (repo_id or paper id). It must be retrieved from a object. Example: collection.items[0]._id.
missing_ok (bool, optional) — If True, do not raise an error if item doesn’t exists.
token (str, optional) — Hugging Face token. Will default to the locally saved token if not provided.

Delete an item from a collection.

Example:

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>>> from huggingface_hub import get_collection, delete_collection_item

# Get collection first
>>> collection = get_collection("TheBloke/recent-models-64f9a55bb3115b4f513ec026")

# Delete item based on its ID
>>> delete_collection_item(
...     collection_slug="TheBloke/recent-models-64f9a55bb3115b4f513ec026",
...     item_object_id=collection.items[-1].item_object_id,
... )

delete_file

( path_in_repo: strrepo_id: strtoken: Optional[str] = Nonerepo_type: Optional[str] = Nonerevision: Optional[str] = Nonecommit_message: Optional[str] = Nonecommit_description: Optional[str] = Nonecreate_pr: Optional[bool] = Noneparent_commit: Optional[str] = None )

Parameters

path_in_repo (str) — Relative filepath in the repo, for example: "checkpoints/1fec34a/weights.bin"
repo_id (str) — The repository from which the file will be deleted, for example: "username/custom_transformers"
token (str, optional) — Authentication token, obtained with HfApi.login method. Will default to the stored token.
repo_type (str, optional) — Set to "dataset" or "space" if the file is in a dataset or space, None or "model" if in a model. Default is None.
revision (str, optional) — The git revision to commit from. Defaults to the head of the "main" branch.
commit_message (str, optional) — The summary / title / first line of the generated commit. Defaults to f"Delete {path_in_repo} with huggingface_hub".
commit_description (str optional) — The description of the generated commit
create_pr (boolean, optional) — Whether or not to create a Pull Request with that commit. Defaults to False. If revision is not set, PR is opened against the "main" branch. If revision is set and is a branch, PR is opened against this branch. If revision is set and is not a branch name (example: a commit oid), an RevisionNotFoundError is returned by the server.
parent_commit (str, optional) — The OID / SHA of the parent commit, as a hexadecimal string. Shorthands (7 first characters) are also supported. If specified and create_pr is False, the commit will fail if revision does not point to parent_commit. If specified and create_pr is True, the pull request will be created from parent_commit. Specifying parent_commit ensures the repo has not changed before committing the changes, and can be especially useful if the repo is updated / committed to concurrently.

Deletes a file in the given repo.

Raises the following errors:

if the HuggingFace API returned an error
if some parameter value is invalid
If the repository to download from cannot be found. This may be because it doesn’t exist, or because it is set to private and you do not have access.
If the revision to download from cannot be found.
If the file to download cannot be found.

delete_folder

Parameters

path_in_repo (str) — Relative folder path in the repo, for example: "checkpoints/1fec34a".
repo_id (str) — The repository from which the folder will be deleted, for example: "username/custom_transformers"
token (str, optional) — Authentication token, obtained with HfApi.login method. Will default to the stored token.
repo_type (str, optional) — Set to "dataset" or "space" if the folder is in a dataset or space, None or "model" if in a model. Default is None.
revision (str, optional) — The git revision to commit from. Defaults to the head of the "main" branch.
commit_message (str, optional) — The summary / title / first line of the generated commit. Defaults to f"Delete folder {path_in_repo} with huggingface_hub".
commit_description (str optional) — The description of the generated commit.
create_pr (boolean, optional) — Whether or not to create a Pull Request with that commit. Defaults to False. If revision is not set, PR is opened against the "main" branch. If revision is set and is a branch, PR is opened against this branch. If revision is set and is not a branch name (example: a commit oid), an RevisionNotFoundError is returned by the server.
parent_commit (str, optional) — The OID / SHA of the parent commit, as a hexadecimal string. Shorthands (7 first characters) are also supported. If specified and create_pr is False, the commit will fail if revision does not point to parent_commit. If specified and create_pr is True, the pull request will be created from parent_commit. Specifying parent_commit ensures the repo has not changed before committing the changes, and can be especially useful if the repo is updated / committed to concurrently.

Deletes a folder in the given repo.

Simple wrapper around method.

delete_repo

( repo_id: strtoken: Optional[str] = Nonerepo_type: Optional[str] = Nonemissing_ok: bool = False )

Parameters

repo_id (str) — A namespace (user or an organization) and a repo name separated by a /.
token (str, optional) — An authentication token (See )
repo_type (str, optional) — Set to "dataset" or "space" if uploading to a dataset or space, None or "model" if uploading to a model.
missing_ok (bool, optional, defaults to False) — If True, do not raise an error if repo does not exist.

Raises

- — If the repository to delete from cannot be found and missing_ok is set to False (default).

Delete a repo from the HuggingFace Hub. CAUTION: this is irreversible.

delete_space_secret

( repo_id: strkey: strtoken: Optional[str] = None )

Parameters

repo_id (str) — ID of the repo to update. Example: "bigcode/in-the-stack".
key (str) — Secret key. Example: "GITHUB_API_KEY".
token (str, optional) — Hugging Face token. Will default to the locally saved token if not provided.

Deletes a secret from a Space.

Secrets allow to set secret keys or tokens to a Space without hardcoding them. For more details, see .

delete_space_storage

( repo_id: strtoken: Optional[str] = None ) →

Parameters

repo_id (str) — ID of the Space to update. Example: "HuggingFaceH4/open_llm_leaderboard".
token (str, optional) — Hugging Face token. Will default to the locally saved token if not provided.

Returns

Runtime information about a Space including Space stage and hardware.

Raises

BadRequestError

BadRequestError — If space has no persistent storage.

Delete persistent storage for a Space.

delete_space_variable

( repo_id: strkey: strtoken: Optional[str] = None )

Parameters

repo_id (str) — ID of the repo to update. Example: "bigcode/in-the-stack".
key (str) — Variable key. Example: "MODEL_REPO_ID"
token (str, optional) — Hugging Face token. Will default to the locally saved token if not provided.

Deletes a variable from a Space.

Variables allow to set environment variables to a Space without hardcoding them. For more details, see

delete_tag

( repo_id: strtag: strtoken: Optional[str] = Nonerepo_type: Optional[str] = None )

Parameters

repo_id (str) — The repository in which a tag will be deleted. Example: "user/my-cool-model".
tag (str) — The name of the tag to delete.
token (str, optional) — Authentication token. Will default to the stored token.
repo_type (str, optional) — Set to "dataset" or "space" if tagging a dataset or space, None or "model" if tagging a model. Default is None.

Raises

— If repository is not found (error 404): wrong repo_id/repo_type, private but not authenticated or repo does not exist.
— If tag is not found.

Delete a tag from a repo on the Hub.

duplicate_space

( from_id: strto_id: Optional[str] = Noneprivate: Optional[bool] = Nonetoken: Optional[str] = Noneexist_ok: bool = Falsehardware: Optional[SpaceHardware] = Nonestorage: Optional[SpaceStorage] = Nonesleep_time: Optional[int] = Nonesecrets: Optional[List[Dict[str, str]]] = Nonevariables: Optional[List[Dict[str, str]]] = None ) →

Parameters

from_id (str) — ID of the Space to duplicate. Example: "pharma/CLIP-Interrogator".
to_id (str, optional) — ID of the new Space. Example: "dog/CLIP-Interrogator". If not provided, the new Space will have the same name as the original Space, but in your account.
private (bool, optional) — Whether the new Space should be private or not. Defaults to the same privacy as the original Space.
token (str, optional) — Hugging Face token. Will default to the locally saved token if not provided.
exist_ok (bool, optional, defaults to False) — If True, do not raise an error if repo already exists.
hardware (SpaceHardware or str, optional) — Choice of Hardware. Example: "t4-medium". See for a complete list.
storage (SpaceStorage or str, optional) — Choice of persistent storage tier. Example: "small". See for a complete list.
sleep_time (int, optional) — Number of seconds of inactivity to wait before a Space is put to sleep. Set to -1 if you don’t want your Space to sleep (default behavior for upgraded hardware). For free hardware, you can’t configure the sleep time (value is fixed to 48 hours of inactivity). See for more details.
secrets (List[Dict[str, str]], optional) — A list of secret keys to set in your Space. Each item is in the form {"key": ..., "value": ..., "description": ...} where description is optional. For more details, see .
variables (List[Dict[str, str]], optional) — A list of public environment variables to set in your Space. Each item is in the form {"key": ..., "value": ..., "description": ...} where description is optional. For more details, see .

Returns

URL to the newly created repo. Value is a subclass of str containing attributes like endpoint, repo_type and repo_id.

Raises

- — if the HuggingFace API returned an error
- — If one of from_id or to_id cannot be found. This may be because it doesn’t exist, or because it is set to private and you do not have access.

Duplicate a Space.

Programmatically duplicate a Space. The new Space will be created in your account and will be in the same state as the original Space (running or paused). You can duplicate a Space no matter the current state of a Space.

Example:

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>>> from huggingface_hub import duplicate_space

# Duplicate a Space to your account
>>> duplicate_space("multimodalart/dreambooth-training")
RepoUrl('https://huggingface.co/spaces/nateraw/dreambooth-training',...)

# Can set custom destination id and visibility flag.
>>> duplicate_space("multimodalart/dreambooth-training", to_id="my-dreambooth", private=True)
RepoUrl('https://huggingface.co/spaces/nateraw/my-dreambooth',...)

edit_discussion_comment

( repo_id: strdiscussion_num: intcomment_id: strnew_content: strtoken: Optional[str] = Nonerepo_type: Optional[str] = None ) →

Parameters

repo_id (str) — A namespace (user or an organization) and a repo name separated by a /.
discussion_num (int) — The number of the Discussion or Pull Request . Must be a strictly positive integer.
comment_id (str) — The ID of the comment to edit.
new_content (str) — The new content of the comment. Comments support markdown formatting.
repo_type (str, optional) — Set to "dataset" or "space" if uploading to a dataset or space, None or "model" if uploading to a model. Default is None.
token (str, optional) — An authentication token (See )

Returns

the edited comment

Edits a comment on a Discussion / Pull Request.

Raises the following errors:

if the HuggingFace API returned an error
if some parameter value is invalid
If the repository to download from cannot be found. This may be because it doesn’t exist, or because it is set to private and you do not have access.

file_exists

( repo_id: strfilename: strrepo_type: Optional[str] = Nonerevision: Optional[str] = Nonetoken: Optional[str] = None )

Parameters

repo_id (str) — A namespace (user or an organization) and a repo name separated by a /.
filename (str) — The name of the file to check, for example: "config.json"
repo_type (str, optional) — Set to "dataset" or "space" if getting repository info from a dataset or a space, None or "model" if getting repository info from a model. Default is None.
revision (str, optional) — The revision of the repository from which to get the information. Defaults to "main" branch.
token (bool or str, optional) — A valid authentication token (see ). If None or True and machine is logged in (through huggingface-cli login or ), token will be retrieved from the cache. If False, token is not sent in the request header.

Checks if a file exists in a repository on the Hugging Face Hub.

Examples:

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>>> from huggingface_hub import file_exists
>>> file_exists("bigcode/starcoder", "config.json")
True
>>> file_exists("bigcode/starcoder", "not-a-file")
False
>>> file_exists("bigcode/not-a-repo", "config.json")
False

get_collection

( collection_slug: strtoken: Optional[str] = None )

Parameters

collection_slug (str) — Slug of the collection of the Hub. Example: "TheBloke/recent-models-64f9a55bb3115b4f513ec026".
token (str, optional) — Hugging Face token. Will default to the locally saved token if not provided.

Gets information about a Collection on the Hub.

Returns:

Example:

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>>> from huggingface_hub import get_collection
>>> collection = get_collection("TheBloke/recent-models-64f9a55bb3115b4f513ec026")
>>> collection.title
'Recent models'
>>> len(collection.items)
37
>>> collection.items[0]
CollectionItem: {
    {'item_object_id': '6507f6d5423b46492ee1413e',
    'item_id': 'TheBloke/TigerBot-70B-Chat-GPTQ',
    'author': 'TheBloke',
    'item_type': 'model',
    'lastModified': '2023-09-19T12:55:21.000Z',
    (...)
}}

get_dataset_tags

( )

List all valid dataset tags as a nested namespace object.

get_discussion_details

( repo_id: strdiscussion_num: intrepo_type: Optional[str] = Nonetoken: Optional[str] = None )

Parameters

repo_id (str) — A namespace (user or an organization) and a repo name separated by a /.
discussion_num (int) — The number of the Discussion or Pull Request . Must be a strictly positive integer.
repo_type (str, optional) — Set to "dataset" or "space" if uploading to a dataset or space, None or "model" if uploading to a model. Default is None.
token (str, optional) — An authentication token (See )

Fetches a Discussion’s / Pull Request ‘s details from the Hub.

Returns:

Raises the following errors:

if the HuggingFace API returned an error
if some parameter value is invalid
If the repository to download from cannot be found. This may be because it doesn’t exist, or because it is set to private and you do not have access.

get_full_repo_name

( model_id: strorganization: Optional[str] = Nonetoken: Optional[Union[bool, str]] = None ) → str

Parameters

model_id (str) — The name of the model.
organization (str, optional) — If passed, the repository name will be in the organization namespace instead of the user namespace.
token (bool or str, optional) — A valid authentication token (see ). If None or True and machine is logged in (through huggingface-cli login or ), token will be retrieved from the cache. If False, token is not sent in the request header.

Returns

str

The repository name in the user’s namespace ({username}/{model_id}) if no organization is passed, and under the organization namespace ({organization}/{model_id}) otherwise.

Returns the repository name for a given model ID and optional organization.

get_model_tags

( )

List all valid model tags as a nested namespace object

get_repo_discussions

( repo_id: strrepo_type: Optional[str] = Nonetoken: Optional[str] = None ) → Iterator[Discussion]

Parameters

repo_id (str) — A namespace (user or an organization) and a repo name separated by a /.
repo_type (str, optional) — Set to "dataset" or "space" if fetching from a dataset or space, None or "model" if fetching from a model. Default is None.
token (str, optional) — An authentication token (See ).

Returns

Iterator[Discussion]

An iterator of objects.

Fetches Discussions and Pull Requests for the given repo.

Example:

Collecting all discussions of a repo in a list:

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>>> from huggingface_hub import get_repo_discussions
>>> discussions_list = list(get_repo_discussions(repo_id="bert-base-uncased"))

Iterating over discussions of a repo:

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>>> from huggingface_hub import get_repo_discussions
>>> for discussion in get_repo_discussions(repo_id="bert-base-uncased"):
...     print(discussion.num, discussion.title)

get_space_runtime

( repo_id: strtoken: Optional[str] = None ) →

Parameters

repo_id (str) — ID of the repo to update. Example: "bigcode/in-the-stack".
token (str, optional) — Hugging Face token. Will default to the locally saved token if not provided.

Returns

Runtime information about a Space including Space stage and hardware.

Gets runtime information about a Space.

get_space_variables

( repo_id: strtoken: Optional[str] = None )

Parameters

repo_id (str) — ID of the repo to query. Example: "bigcode/in-the-stack".
token (str, optional) — Hugging Face token. Will default to the locally saved token if not provided.

Gets all variables from a Space.

Variables allow to set environment variables to a Space without hardcoding them. For more details, see

get_token_permission

( token: Optional[str] = None ) → Literal["read", "write", None]

Parameters

token (str, optional) — The token to check for validity. Defaults to the one saved locally.

Returns

Literal["read", "write", None]

Permission granted by the token (“read” or “write”). Returns None if no token passed or token is invalid.

Check if a given token is valid and return its permissions.

For more details about tokens, please refer to .

hf_hub_download

( repo_id: strfilename: strsubfolder: Optional[str] = Nonerepo_type: Optional[str] = Nonerevision: Optional[str] = Nonecache_dir: Union[str, Path, None] = Nonelocal_dir: Union[str, Path, None] = Nonelocal_dir_use_symlinks: Union[bool, Literal['auto']] = 'auto'force_download: bool = Falseforce_filename: Optional[str] = Noneproxies: Optional[Dict] = Noneetag_timeout: float = 10resume_download: bool = Falsetoken: Optional[Union[str, bool]] = Nonelocal_files_only: bool = Falselegacy_cache_layout: bool = False )

Parameters

repo_id (str) — A user or an organization name and a repo name separated by a /.
filename (str) — The name of the file in the repo.
subfolder (str, optional) — An optional value corresponding to a folder inside the model repo.
repo_type (str, optional) — Set to "dataset" or "space" if downloading from a dataset or space, None or "model" if downloading from a model. Default is None.
revision (str, optional) — An optional Git revision id which can be a branch name, a tag, or a commit hash.
endpoint (str, optional) — Hugging Face Hub base url. Will default to . Otherwise, one can set the HF_ENDPOINT environment variable.
cache_dir (str, Path, optional) — Path to the folder where cached files are stored.
local_dir (str or Path, optional) — If provided, the downloaded file will be placed under this directory, either as a symlink (default) or a regular file (see description for more details).
local_dir_use_symlinks ("auto" or bool, defaults to "auto") — To be used with local_dir. If set to “auto”, the cache directory will be used and the file will be either duplicated or symlinked to the local directory depending on its size. It set to True, a symlink will be created, no matter the file size. If set to False, the file will either be duplicated from cache (if already exists) or downloaded from the Hub and not cached. See description for more details.
force_download (bool, optional, defaults to False) — Whether the file should be downloaded even if it already exists in the local cache.
proxies (dict, optional) — Dictionary mapping protocol to the URL of the proxy passed to requests.request.
etag_timeout (float, optional, defaults to 10) — When fetching ETag, how many seconds to wait for the server to send data before giving up which is passed to requests.request.
resume_download (bool, optional, defaults to False) — If True, resume a previously interrupted download.
token (bool or str, optional) — A valid authentication token (see ). If None or True and machine is logged in (through huggingface-cli login or ), token will be retrieved from the cache. If False, token is not sent in the request header.
local_files_only (bool, optional, defaults to False) — If True, avoid downloading the file and return the path to the local cached file if it exists.
legacy_cache_layout (bool, optional, defaults to False) — If True, uses the legacy file cache layout i.e. just call then cached_download. This is deprecated as the new cache layout is more powerful.

Download a given file if it’s not already present in the local cache.

The new cache file layout looks like this:

The cache directory contains one subfolder per repo_id (namespaced by repo type)
inside each repo folder:
- refs is a list of the latest known revision => commit_hash pairs
- blobs contains the actual file blobs (identified by their git-sha or sha256, depending on whether they’re LFS files or not)
- snapshots contains one subfolder per commit, each “commit” contains the subset of the files that have been resolved at that particular commit. Each filename is a symlink to the blob at that particular commit.

If local_dir is provided, the file structure from the repo will be replicated in this location. You can configure how you want to move those files:

If local_dir_use_symlinks="auto" (default), files are downloaded and stored in the cache directory as blob files. Small files (<5MB) are duplicated in local_dir while a symlink is created for bigger files. The goal is to be able to manually edit and save small files without corrupting the cache while saving disk space for binary files. The 5MB threshold can be configured with the HF_HUB_LOCAL_DIR_AUTO_SYMLINK_THRESHOLD environment variable.
If local_dir_use_symlinks=True, files are downloaded, stored in the cache directory and symlinked in local_dir. This is optimal in term of disk usage but files must not be manually edited.
If local_dir_use_symlinks=False and the blob files exist in the cache directory, they are duplicated in the local dir. This means disk usage is not optimized.
Finally, if local_dir_use_symlinks=False and the blob files do not exist in the cache directory, then the files are downloaded and directly placed under local_dir. This means if you need to download them again later, they will be re-downloaded entirely.

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[  96]  .
└── [ 160]  models--julien-c--EsperBERTo-small
    ├── [ 160]  blobs
    │   ├── [321M]  403450e234d65943a7dcf7e05a771ce3c92faa84dd07db4ac20f592037a1e4bd
    │   ├── [ 398]  7cb18dc9bafbfcf74629a4b760af1b160957a83e
    │   └── [1.4K]  d7edf6bd2a681fb0175f7735299831ee1b22b812
    ├── [  96]  refs
    │   └── [  40]  main
    └── [ 128]  snapshots
        ├── [ 128]  2439f60ef33a0d46d85da5001d52aeda5b00ce9f
        │   ├── [  52]  README.md -> ../../blobs/d7edf6bd2a681fb0175f7735299831ee1b22b812
        │   └── [  76]  pytorch_model.bin -> ../../blobs/403450e234d65943a7dcf7e05a771ce3c92faa84dd07db4ac20f592037a1e4bd
        └── [ 128]  bbc77c8132af1cc5cf678da3f1ddf2de43606d48
            ├── [  52]  README.md -> ../../blobs/7cb18dc9bafbfcf74629a4b760af1b160957a83e
            └── [  76]  pytorch_model.bin -> ../../blobs/403450e234d65943a7dcf7e05a771ce3c92faa84dd07db4ac20f592037a1e4bd

Raises the following errors:

if token=True and the token cannot be found.
if ETag cannot be determined.
if some parameter value is invalid
If the repository to download from cannot be found. This may be because it doesn’t exist, or because it is set to private and you do not have access.
If the revision to download from cannot be found.
If the file to download cannot be found.
If network is disabled or unavailable and file is not found in cache.

hide_discussion_comment

( repo_id: strdiscussion_num: intcomment_id: strtoken: Optional[str] = Nonerepo_type: Optional[str] = None ) →

Parameters

repo_id (str) — A namespace (user or an organization) and a repo name separated by a /.
discussion_num (int) — The number of the Discussion or Pull Request . Must be a strictly positive integer.
comment_id (str) — The ID of the comment to edit.
repo_type (str, optional) — Set to "dataset" or "space" if uploading to a dataset or space, None or "model" if uploading to a model. Default is None.
token (str, optional) — An authentication token (See )

Returns

the hidden comment

Hides a comment on a Discussion / Pull Request.

Hidden comments' content cannot be retrieved anymore. Hiding a comment is irreversible.

Raises the following errors:

if the HuggingFace API returned an error
if some parameter value is invalid
If the repository to download from cannot be found. This may be because it doesn’t exist, or because it is set to private and you do not have access.

like

( repo_id: strtoken: Optional[str] = Nonerepo_type: Optional[str] = None )

Parameters

repo_id (str) — The repository to like. Example: "user/my-cool-model".
token (str, optional) — Authentication token. Will default to the stored token.
repo_type (str, optional) — Set to "dataset" or "space" if liking a dataset or space, None or "model" if liking a model. Default is None.

Raises

— If repository is not found (error 404): wrong repo_id/repo_type, private but not authenticated or repo does not exist.

Like a given repo on the Hub (e.g. set as favorite).

See also and .

list_repo_refs

( repo_id: strrepo_type: Optional[str] = Nonetoken: Optional[Union[bool, str]] = None ) →

Parameters

repo_id (str) — A namespace (user or an organization) and a repo name separated by a /.
repo_type (str, optional) — Set to "dataset" or "space" if listing refs from a dataset or a Space, None or "model" if listing from a model. Default is None.
token (bool or str, optional) — A valid authentication token (see ). If None or True and machine is logged in (through huggingface-cli login or ), token will be retrieved from the cache. If False, token is not sent in the request header.

Returns

object containing all information about branches and tags for a repo on the Hub.

Get the list of refs of a given repo (both tags and branches).

Example:

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>>> from huggingface_hub import HfApi
>>> api = HfApi()
>>> api.list_repo_refs("gpt2")
GitRefs(branches=[GitRefInfo(name='main', ref='refs/heads/main', target_commit='e7da7f221d5bf496a48136c0cd264e630fe9fcc8')], converts=[], tags=[])

>>> api.list_repo_refs("bigcode/the-stack", repo_type='dataset')
GitRefs(
    branches=[
        GitRefInfo(name='main', ref='refs/heads/main', target_commit='18edc1591d9ce72aa82f56c4431b3c969b210ae3'),
        GitRefInfo(name='v1.1.a1', ref='refs/heads/v1.1.a1', target_commit='f9826b862d1567f3822d3d25649b0d6d22ace714')
    ],
    converts=[],
    tags=[
        GitRefInfo(name='v1.0', ref='refs/tags/v1.0', target_commit='c37a8cd1e382064d8aced5e05543c5f7753834da')
    ]
)

list_spaces

( filter: Union[str, Iterable[str], None] = Noneauthor: Optional[str] = Nonesearch: Optional[str] = Nonesort: Union[Literal['lastModified'], str, None] = Nonedirection: Optional[Literal[-1]] = Nonelimit: Optional[int] = Nonedatasets: Union[str, Iterable[str], None] = Nonemodels: Union[str, Iterable[str], None] = Nonelinked: bool = Falsefull: Optional[bool] = Nonetoken: Optional[str] = None ) → Iterable[SpaceInfo]

Parameters

filter (str or Iterable, optional) — A string tag or list of tags that can be used to identify Spaces on the Hub.
author (str, optional) — A string which identify the author of the returned Spaces.
search (str, optional) — A string that will be contained in the returned Spaces.
sort (Literal["lastModified"] or str, optional) — The key with which to sort the resulting Spaces. Possible values are the properties of the ` class.
direction (Literal[-1] or int, optional) — Direction in which to sort. The value -1 sorts by descending order while all other values sort by ascending order.
limit (int, optional) — The limit on the number of Spaces fetched. Leaving this option to None fetches all Spaces.
datasets (str or Iterable, optional) — Whether to return Spaces that make use of a dataset. The name of a specific dataset can be passed as a string.
models (str or Iterable, optional) — Whether to return Spaces that make use of a model. The name of a specific model can be passed as a string.
linked (bool, optional) — Whether to return Spaces that make use of either a model or a dataset.
full (bool, optional) — Whether to fetch all Spaces data, including the lastModified and the cardData.
token (bool or str, optional) — A valid authentication token (see ). If None or True and machine is logged in (through huggingface-cli login or ), token will be retrieved from the cache. If False, token is not sent in the request header.

Returns

Iterable[SpaceInfo]

an iterable of objects.

List spaces hosted on the Huggingface Hub, given some filters.

merge_pull_request

( repo_id: strdiscussion_num: inttoken: Optional[str] = Nonecomment: Optional[str] = Nonerepo_type: Optional[str] = None ) →

Parameters

repo_id (str) — A namespace (user or an organization) and a repo name separated by a /.
discussion_num (int) — The number of the Discussion or Pull Request . Must be a strictly positive integer.
comment (str, optional) — An optional comment to post with the status change.
repo_type (str, optional) — Set to "dataset" or "space" if uploading to a dataset or space, None or "model" if uploading to a model. Default is None.
token (str, optional) — An authentication token (See )

Returns

the status change event

Merges a Pull Request.

Raises the following errors:

if the HuggingFace API returned an error
if some parameter value is invalid
If the repository to download from cannot be found. This may be because it doesn’t exist, or because it is set to private and you do not have access.

model_info

( repo_id: strrevision: Optional[str] = Nonetimeout: Optional[float] = NonesecurityStatus: Optional[bool] = Nonefiles_metadata: bool = Falsetoken: Optional[Union[bool, str]] = None ) →

Parameters

repo_id (str) — A namespace (user or an organization) and a repo name separated by a /.
revision (str, optional) — The revision of the model repository from which to get the information.
timeout (float, optional) — Whether to set a timeout for the request to the Hub.
securityStatus (bool, optional) — Whether to retrieve the security status from the model repository as well.
files_metadata (bool, optional) — Whether or not to retrieve metadata for files in the repository (size, LFS metadata, etc). Defaults to False.
token (bool or str, optional) — A valid authentication token (see ). If None or True and machine is logged in (through huggingface-cli login or ), token will be retrieved from the cache. If False, token is not sent in the request header.

Returns

The model repository information.

Get info on one specific model on huggingface.co

Model can be private if you pass an acceptable token or are logged in.

Raises the following errors:

If the repository to download from cannot be found. This may be because it doesn’t exist, or because it is set to private and you do not have access.
If the revision to download from cannot be found.

move_repo

( from_id: strto_id: strrepo_type: Optional[str] = Nonetoken: Optional[str] = None )

Parameters

from_id (str) — A namespace (user or an organization) and a repo name separated by a /. Original repository identifier.
to_id (str) — A namespace (user or an organization) and a repo name separated by a /. Final repository identifier.
repo_type (str, optional) — Set to "dataset" or "space" if uploading to a dataset or space, None or "model" if uploading to a model. Default is None.
token (str, optional) — An authentication token (See )

Moving a repository from namespace1/repo_name1 to namespace2/repo_name2

Note there are certain limitations. For more information about moving repositories, please see .

Raises the following errors:

If the repository to download from cannot be found. This may be because it doesn’t exist, or because it is set to private and you do not have access.

pause_space

( repo_id: strtoken: Optional[str] = None ) →

Parameters

repo_id (str) — ID of the Space to pause. Example: "Salesforce/BLIP2".
token (str, optional) — Hugging Face token. Will default to the locally saved token if not provided.

Returns

Runtime information about your Space including stage=PAUSED and requested hardware.

Raises

or or

— If your Space is not found (error 404). Most probably wrong repo_id or your space is private but you are not authenticated.
— 403 Forbidden: only the owner of a Space can pause it. If you want to manage a Space that you don’t own, either ask the owner by opening a Discussion or duplicate the Space.
— If your Space is a static Space. Static Spaces are always running and never billed. If you want to hide a static Space, you can set it to private.

Pause your Space.

A paused Space stops executing until manually restarted by its owner. This is different from the sleeping state in which free Spaces go after 48h of inactivity. Paused time is not billed to your account, no matter the hardware you’ve selected. To restart your Space, use and go to your Space settings page.

For more details, please visit .

preupload_lfs_files

( repo_id: stradditions: Iterable[CommitOperationAdd]token: Optional[str] = Nonerepo_type: Optional[str] = Nonerevision: Optional[str] = Nonecreate_pr: Optional[bool] = Nonenum_threads: int = 5free_memory: bool = True )

Parameters

repo_id (str) — The repository in which you will commit the files, for example: "username/custom_transformers".
operations (Iterable of ) — The list of files to upload. Warning: the objects in this list will be mutated to include information relative to the upload. Do not reuse the same objects for multiple commits.
token (str, optional) — Authentication token. Will default to the stored token.
repo_type (str, optional) — The type of repository to upload to (e.g. "model" -default-, "dataset" or "space").
revision (str, optional) — The git revision to commit from. Defaults to the head of the "main" branch.
create_pr (boolean, optional) — Whether or not you plan to create a Pull Request with that commit. Defaults to False.
num_threads (int, optional) — Number of concurrent threads for uploading files. Defaults to 5. Setting it to 2 means at most 2 files will be uploaded concurrently.

Pre-upload LFS files to S3 in preparation on a future commit.

This method is useful if you are generating the files to upload on-the-fly and you don’t want to store them in memory before uploading them all at once.

This is a power-user method. You shouldn’t need to call it directly to make a normal commit. Use directly instead.

Commit operations will be mutated during the process. In particular, the attached path_or_fileobj will be removed after the upload to save memory (and replaced by an empty bytes object). Do not reuse the same objects except to pass them to . If you don’t want to remove the attached content from the commit operation object, pass free_memory=False.

Example:

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>>> from huggingface_hub import CommitOperationAdd, preupload_lfs_files, create_commit, create_repo

>>> repo_id = create_repo("test_preupload").repo_id

# Generate and preupload LFS files one by one
>>> operations = [] # List of all `CommitOperationAdd` objects that will be generated
>>> for i in range(5):
...     content = ... # generate binary content
...     addition = CommitOperationAdd(path_in_repo=f"shard_{i}_of_5.bin", path_or_fileobj=content)
...     preupload_lfs_files(repo_id, additions=[addition]) # upload + free memory
...     operations.append(addition)

# Create commit
>>> create_commit(repo_id, operations=operations, commit_message="Commit all shards")

rename_discussion

( repo_id: strdiscussion_num: intnew_title: strtoken: Optional[str] = Nonerepo_type: Optional[str] = None ) →

Parameters

repo_id (str) — A namespace (user or an organization) and a repo name separated by a /.
discussion_num (int) — The number of the Discussion or Pull Request . Must be a strictly positive integer.
new_title (str) — The new title for the discussion
repo_type (str, optional) — Set to "dataset" or "space" if uploading to a dataset or space, None or "model" if uploading to a model. Default is None.
token (str, optional) — An authentication token (See )

Returns

the title change event

Renames a Discussion.

Examples:

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>>> new_title = "New title, fixing a typo"
>>> HfApi().rename_discussion(
...     repo_id="username/repo_name",
...     discussion_num=34
...     new_title=new_title
... )
# DiscussionTitleChange(id='deadbeef0000000', type='title-change', ...)

Raises the following errors:

if the HuggingFace API returned an error
if some parameter value is invalid

repo_exists

( repo_id: strrepo_type: Optional[str] = Nonetoken: Optional[str] = None )

Parameters

repo_id (str) — A namespace (user or an organization) and a repo name separated by a /.
repo_type (str, optional) — Set to "dataset" or "space" if getting repository info from a dataset or a space, None or "model" if getting repository info from a model. Default is None.

Checks if a repository exists on the Hugging Face Hub.

Examples:

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>>> from huggingface_hub import repo_exists
>>> repo_exists("huggingface/transformers")
True
>>> repo_exists("huggingface/not-a-repo")
False

repo_info

( repo_id: strrevision: Optional[str] = Nonerepo_type: Optional[str] = Nonetimeout: Optional[float] = Nonefiles_metadata: bool = Falsetoken: Optional[Union[bool, str]] = None ) → Union[SpaceInfo, DatasetInfo, ModelInfo]

Parameters

repo_id (str) — A namespace (user or an organization) and a repo name separated by a /.
revision (str, optional) — The revision of the repository from which to get the information.
repo_type (str, optional) — Set to "dataset" or "space" if getting repository info from a dataset or a space, None or "model" if getting repository info from a model. Default is None.
timeout (float, optional) — Whether to set a timeout for the request to the Hub.
files_metadata (bool, optional) — Whether or not to retrieve metadata for files in the repository (size, LFS metadata, etc). Defaults to False.

Returns

Union[SpaceInfo, DatasetInfo, ModelInfo]

Get the info object for a given repo of a given type.

Raises the following errors:

request_space_hardware

Parameters

repo_id (str) — ID of the repo to update. Example: "bigcode/in-the-stack".
token (str, optional) — Hugging Face token. Will default to the locally saved token if not provided.

Returns

Runtime information about a Space including Space stage and hardware.

Request new hardware for a Space.

request_space_storage

Parameters

repo_id (str) — ID of the Space to update. Example: "HuggingFaceH4/open_llm_leaderboard".
token (str, optional) — Hugging Face token. Will default to the locally saved token if not provided.

Returns

Runtime information about a Space including Space stage and hardware.

Request persistent storage for a Space.

restart_space

Parameters

repo_id (str) — ID of the Space to restart. Example: "Salesforce/BLIP2".
token (str, optional) — Hugging Face token. Will default to the locally saved token if not provided.
factory_reboot (bool, optional) — If True, the Space will be rebuilt from scratch without caching any requirements.

Returns

Runtime information about your Space.

Raises

Restart your Space.

run_as_future

( fn: Callable[..., R]*args**kwargs ) → Future

Parameters

fn (Callable) — The method to run in the background.
*args, **kwargs — Arguments with which the method will be called.

Returns

Future

Run a method in the background and return a Future instance.

Example:

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>>> from huggingface_hub import HfApi
>>> api = HfApi()
>>> future = api.run_as_future(api.whoami) # instant
>>> future.done()
False
>>> future.result() # wait until complete and return result
(...)
>>> future.done()
True

set_space_sleep_time

Parameters

repo_id (str) — ID of the repo to update. Example: "bigcode/in-the-stack".
token (str, optional) — Hugging Face token. Will default to the locally saved token if not provided.

Returns

Runtime information about a Space including Space stage and hardware.

Set a custom sleep time for a Space running on upgraded hardware..

snapshot_download

( repo_id: strrepo_type: Optional[str] = Nonerevision: Optional[str] = Nonecache_dir: Union[str, Path, None] = Nonelocal_dir: Union[str, Path, None] = Nonelocal_dir_use_symlinks: Union[bool, Literal['auto']] = 'auto'proxies: Optional[Dict] = Noneetag_timeout: float = 10resume_download: bool = Falseforce_download: bool = Falsetoken: Optional[Union[str, bool]] = Nonelocal_files_only: bool = Falseallow_patterns: Optional[Union[List[str], str]] = Noneignore_patterns: Optional[Union[List[str], str]] = Nonemax_workers: int = 8tqdm_class: Optional[base_tqdm] = None )

Parameters

repo_id (str) — A user or an organization name and a repo name separated by a /.
repo_type (str, optional) — Set to "dataset" or "space" if downloading from a dataset or space, None or "model" if downloading from a model. Default is None.
revision (str, optional) — An optional Git revision id which can be a branch name, a tag, or a commit hash.
cache_dir (str, Path, optional) — Path to the folder where cached files are stored.
local_dir (str or Path, optional) — If provided, the downloaded files will be placed under this directory, either as symlinks (default) or regular files (see description for more details).
local_dir_use_symlinks ("auto" or bool, defaults to "auto") — To be used with local_dir. If set to “auto”, the cache directory will be used and the file will be either duplicated or symlinked to the local directory depending on its size. It set to True, a symlink will be created, no matter the file size. If set to False, the file will either be duplicated from cache (if already exists) or downloaded from the Hub and not cached. See description for more details.
proxies (dict, optional) — Dictionary mapping protocol to the URL of the proxy passed to requests.request.
etag_timeout (float, optional, defaults to 10) — When fetching ETag, how many seconds to wait for the server to send data before giving up which is passed to requests.request.
resume_download (bool, optional, defaults to False) -- If True`, resume a previously interrupted download.
force_download (bool, optional, defaults to False) — Whether the file should be downloaded even if it already exists in the local cache.
local_files_only (bool, optional, defaults to False) — If True, avoid downloading the file and return the path to the local cached file if it exists.
allow_patterns (List[str] or str, optional) — If provided, only files matching at least one pattern are downloaded.
ignore_patterns (List[str] or str, optional) — If provided, files matching any of the patterns are not downloaded.
max_workers (int, optional) — Number of concurrent threads to download files (1 thread = 1 file download). Defaults to 8.
tqdm_class (tqdm, optional) — If provided, overwrites the default behavior for the progress bar. Passed argument must inherit from tqdm.auto.tqdm or at least mimic its behavior. Note that the tqdm_class is not passed to each individual download. Defaults to the custom HF progress bar that can be disabled by setting HF_HUB_DISABLE_PROGRESS_BARS environment variable.

Download repo files.

Download a whole snapshot of a repo’s files at the specified revision. This is useful when you want all files from a repo, because you don’t know which ones you will need a priori. All files are nested inside a folder in order to keep their actual filename relative to that folder. You can also filter which files to download using allow_patterns and ignore_patterns.

If local_dir is provided, the file structure from the repo will be replicated in this location. You can configure how you want to move those files:

If local_dir_use_symlinks="auto" (default), files are downloaded and stored in the cache directory as blob files. Small files (<5MB) are duplicated in local_dir while a symlink is created for bigger files. The goal is to be able to manually edit and save small files without corrupting the cache while saving disk space for binary files. The 5MB threshold can be configured with the HF_HUB_LOCAL_DIR_AUTO_SYMLINK_THRESHOLD environment variable.
If local_dir_use_symlinks=True, files are downloaded, stored in the cache directory and symlinked in local_dir. This is optimal in term of disk usage but files must not be manually edited.
If local_dir_use_symlinks=False and the blob files exist in the cache directory, they are duplicated in the local dir. This means disk usage is not optimized.
Finally, if local_dir_use_symlinks=False and the blob files do not exist in the cache directory, then the files are downloaded and directly placed under local_dir. This means if you need to download them again later, they will be re-downloaded entirely.

An alternative would be to clone the repo but this requires git and git-lfs to be installed and properly configured. It is also not possible to filter which files to download when cloning a repository using git.

Raises the following errors:

space_info

Parameters

repo_id (str) — A namespace (user or an organization) and a repo name separated by a /.
revision (str, optional) — The revision of the space repository from which to get the information.
timeout (float, optional) — Whether to set a timeout for the request to the Hub.
files_metadata (bool, optional) — Whether or not to retrieve metadata for files in the repository (size, LFS metadata, etc). Defaults to False.

Returns

The space repository information.

Get info on one specific Space on huggingface.co.

Space can be private if you pass an acceptable token.

Raises the following errors:

super_squash_history

( repo_id: strbranch: Optional[str] = Nonecommit_message: Optional[str] = Nonerepo_type: Optional[str] = Nonetoken: Optional[str] = None )

Parameters

repo_id (str) — A namespace (user or an organization) and a repo name separated by a /.
branch (str, optional) — The branch to squash. Defaults to the head of the "main" branch.
commit_message (str, optional) — The commit message to use for the squashed commit.
repo_type (str, optional) — Set to "dataset" or "space" if listing commits from a dataset or a Space, None or "model" if listing from a model. Default is None.

Raises

Squash commit history on a branch for a repo on the Hub.

Squashing the repo history is useful when you know you’ll make hundreds of commits and you don’t want to clutter the history. Squashing commits can only be performed from the head of a branch.

Once squashed, the commit history cannot be retrieved. This is a non-revertible operation.

Once the history of a branch has been squashed, it is not possible to merge it back into another branch since their history will have diverged.

Example:

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>>> from huggingface_hub import HfApi
>>> api = HfApi()

# Create repo
>>> repo_id = api.create_repo("test-squash").repo_id

# Make a lot of commits.
>>> api.upload_file(repo_id=repo_id, path_in_repo="file.txt", path_or_fileobj=b"content")
>>> api.upload_file(repo_id=repo_id, path_in_repo="lfs.bin", path_or_fileobj=b"content")
>>> api.upload_file(repo_id=repo_id, path_in_repo="file.txt", path_or_fileobj=b"another_content")

# Squash history
>>> api.super_squash_history(repo_id=repo_id)

unlike

( repo_id: strtoken: Optional[str] = Nonerepo_type: Optional[str] = None )

Parameters

repo_id (str) — The repository to unlike. Example: "user/my-cool-model".
token (str, optional) — Authentication token. Will default to the stored token.
repo_type (str, optional) — Set to "dataset" or "space" if unliking a dataset or space, None or "model" if unliking a model. Default is None.

Raises

Unlike a given repo on the Hub (e.g. remove from favorite list).

Example:

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>>> from huggingface_hub import like, list_liked_repos, unlike
>>> like("gpt2")
>>> "gpt2" in list_liked_repos().models
True
>>> unlike("gpt2")
>>> "gpt2" in list_liked_repos().models
False

update_collection_item

( collection_slug: stritem_object_id: strnote: Optional[str] = Noneposition: Optional[int] = Nonetoken: Optional[str] = None )

Parameters

collection_slug (str) — Slug of the collection to update. Example: "TheBloke/recent-models-64f9a55bb3115b4f513ec026".
note (str, optional) — A note to attach to the item in the collection. The maximum size for a note is 500 characters.
position (int, optional) — New position of the item in the collection.
token (str, optional) — Hugging Face token. Will default to the locally saved token if not provided.

Update an item in a collection.

Example:

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>>> from huggingface_hub import get_collection, update_collection_item

# Get collection first
>>> collection = get_collection("TheBloke/recent-models-64f9a55bb3115b4f513ec026")

# Update item based on its ID (add note + update position)
>>> update_collection_item(
...     collection_slug="TheBloke/recent-models-64f9a55bb3115b4f513ec026",
...     item_object_id=collection.items[-1].item_object_id,
...     note="Newly updated model!"
...     position=0,
... )

update_collection_metadata

( collection_slug: strtitle: Optional[str] = Nonedescription: Optional[str] = Noneposition: Optional[int] = Noneprivate: Optional[bool] = Nonetheme: Optional[str] = Nonetoken: Optional[str] = None )

Parameters

collection_slug (str) — Slug of the collection to update. Example: "TheBloke/recent-models-64f9a55bb3115b4f513ec026".
title (str) — Title of the collection to update.
description (str, optional) — Description of the collection to update.
position (int, optional) — New position of the collection in the list of collections of the user.
private (bool, optional) — Whether the collection should be private or not.
theme (str, optional) — Theme of the collection on the Hub.
token (str, optional) — Hugging Face token. Will default to the locally saved token if not provided.

Update metadata of a collection on the Hub.

All arguments are optional. Only provided metadata will be updated.

Example:

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>>> from huggingface_hub import update_collection_metadata
>>> collection = update_collection_metadata(
...     collection_slug="username/iccv-2023-64f9a55bb3115b4f513ec026",
...     title="ICCV Oct. 2023"
...     description="Portfolio of models, datasets, papers and demos I presented at ICCV Oct. 2023",
...     private=False,
...     theme="pink",
... )
>>> collection.slug
"username/iccv-oct-2023-64f9a55bb3115b4f513ec026"
# ^collection slug got updated but not the trailing ID

update_repo_visibility

( repo_id: strprivate: bool = Falsetoken: Optional[str] = Noneorganization: Optional[str] = Nonerepo_type: Optional[str] = Nonename: Optional[str] = None )

Parameters

repo_id (str, optional) — A namespace (user or an organization) and a repo name separated by a /.
private (bool, optional, defaults to False) — Whether the model repo should be private.
repo_type (str, optional) — Set to "dataset" or "space" if uploading to a dataset or space, None or "model" if uploading to a model. Default is None.

Update the visibility setting of a repository.

Raises the following errors:

upload_file

( path_or_fileobj: Union[str, Path, bytes, BinaryIO]path_in_repo: strrepo_id: strtoken: Optional[str] = Nonerepo_type: Optional[str] = Nonerevision: Optional[str] = Nonecommit_message: Optional[str] = Nonecommit_description: Optional[str] = Nonecreate_pr: Optional[bool] = Noneparent_commit: Optional[str] = Nonerun_as_future: bool = False ) → str or Future

Parameters

path_or_fileobj (str, Path, bytes, or IO) — Path to a file on the local machine or binary data stream / fileobj / buffer.
path_in_repo (str) — Relative filepath in the repo, for example: "checkpoints/1fec34a/weights.bin"
repo_id (str) — The repository to which the file will be uploaded, for example: "username/custom_transformers"
token (str, optional) — Authentication token, obtained with HfApi.login method. Will default to the stored token.
repo_type (str, optional) — Set to "dataset" or "space" if uploading to a dataset or space, None or "model" if uploading to a model. Default is None.
revision (str, optional) — The git revision to commit from. Defaults to the head of the "main" branch.
commit_message (str, optional) — The summary / title / first line of the generated commit
commit_description (str optional) — The description of the generated commit
create_pr (boolean, optional) — Whether or not to create a Pull Request with that commit. Defaults to False. If revision is not set, PR is opened against the "main" branch. If revision is set and is a branch, PR is opened against this branch. If revision is set and is not a branch name (example: a commit oid), an RevisionNotFoundError is returned by the server.
parent_commit (str, optional) — The OID / SHA of the parent commit, as a hexadecimal string. Shorthands (7 first characters) are also supported. If specified and create_pr is False, the commit will fail if revision does not point to parent_commit. If specified and create_pr is True, the pull request will be created from parent_commit. Specifying parent_commit ensures the repo has not changed before committing the changes, and can be especially useful if the repo is updated / committed to concurrently.

Returns

str or Future

The URL to visualize the uploaded file on the hub. If run_as_future=True is passed, returns a Future object which will contain the result when executed.

Upload a local file (up to 50 GB) to the given repo. The upload is done through a HTTP post request, and doesn’t require git or git-lfs to be installed.

Raises the following errors:

Example:

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>>> from huggingface_hub import upload_file

>>> with open("./local/filepath", "rb") as fobj:
...     upload_file(
...         path_or_fileobj=fileobj,
...         path_in_repo="remote/file/path.h5",
...         repo_id="username/my-dataset",
...         repo_type="dataset",
...         token="my_token",
...     )
"https://huggingface.co/datasets/username/my-dataset/blob/main/remote/file/path.h5"

>>> upload_file(
...     path_or_fileobj=".\\local\\file\\path",
...     path_in_repo="remote/file/path.h5",
...     repo_id="username/my-model",
...     token="my_token",
... )
"https://huggingface.co/username/my-model/blob/main/remote/file/path.h5"

>>> upload_file(
...     path_or_fileobj=".\\local\\file\\path",
...     path_in_repo="remote/file/path.h5",
...     repo_id="username/my-model",
...     token="my_token",
...     create_pr=True,
... )
"https://huggingface.co/username/my-model/blob/refs%2Fpr%2F1/remote/file/path.h5"

upload_folder

( repo_id: strfolder_path: Union[str, Path]path_in_repo: Optional[str] = Nonecommit_message: Optional[str] = Nonecommit_description: Optional[str] = Nonetoken: Optional[str] = Nonerepo_type: Optional[str] = Nonerevision: Optional[str] = Nonecreate_pr: Optional[bool] = Noneparent_commit: Optional[str] = Noneallow_patterns: Optional[Union[List[str], str]] = Noneignore_patterns: Optional[Union[List[str], str]] = Nonedelete_patterns: Optional[Union[List[str], str]] = Nonemulti_commits: bool = Falsemulti_commits_verbose: bool = Falserun_as_future: bool = False ) → str or Future[str]

Parameters

repo_id (str) — The repository to which the file will be uploaded, for example: "username/custom_transformers"
folder_path (str or Path) — Path to the folder to upload on the local file system
path_in_repo (str, optional) — Relative path of the directory in the repo, for example: "checkpoints/1fec34a/results". Will default to the root folder of the repository.
token (str, optional) — Authentication token, obtained with HfApi.login method. Will default to the stored token.
repo_type (str, optional) — Set to "dataset" or "space" if uploading to a dataset or space, None or "model" if uploading to a model. Default is None.
revision (str, optional) — The git revision to commit from. Defaults to the head of the "main" branch.
commit_message (str, optional) — The summary / title / first line of the generated commit. Defaults to: f"Upload {path_in_repo} with huggingface_hub"
commit_description (str optional) — The description of the generated commit
create_pr (boolean, optional) — Whether or not to create a Pull Request with that commit. Defaults to False. If revision is not set, PR is opened against the "main" branch. If revision is set and is a branch, PR is opened against this branch. If revision is set and is not a branch name (example: a commit oid), an RevisionNotFoundError is returned by the server. If both multi_commits and create_pr are True, the PR created in the multi-commit process is kept opened.
parent_commit (str, optional) — The OID / SHA of the parent commit, as a hexadecimal string. Shorthands (7 first characters) are also supported. If specified and create_pr is False, the commit will fail if revision does not point to parent_commit. If specified and create_pr is True, the pull request will be created from parent_commit. Specifying parent_commit ensures the repo has not changed before committing the changes, and can be especially useful if the repo is updated / committed to concurrently.
allow_patterns (List[str] or str, optional) — If provided, only files matching at least one pattern are uploaded.
ignore_patterns (List[str] or str, optional) — If provided, files matching any of the patterns are not uploaded.
delete_patterns (List[str] or str, optional) — If provided, remote files matching any of the patterns will be deleted from the repo while committing new files. This is useful if you don’t know which files have already been uploaded. Note: to avoid discrepancies the .gitattributes file is not deleted even if it matches the pattern.
multi_commits (bool) — If True, changes are pushed to a PR using a multi-commit process. Defaults to False.
multi_commits_verbose (bool) — If True and multi_commits is used, more information will be displayed to the user.

Returns

str or Future[str]

A URL to visualize the uploaded folder on the hub. If run_as_future=True is passed, returns a Future object which will contain the result when executed.

Upload a local folder to the given repo. The upload is done through a HTTP requests, and doesn’t require git or git-lfs to be installed.

The structure of the folder will be preserved. Files with the same name already present in the repository will be overwritten. Others will be left untouched.

Use the delete_patterns argument to specify remote files you want to delete. Input type is the same as for allow_patterns (see above). If path_in_repo is also provided, the patterns are matched against paths relative to this folder. For example, upload_folder(..., path_in_repo="experiment", delete_patterns="logs/*") will delete any remote file under ./experiment/logs/. Note that the .gitattributes file will not be deleted even if it matches the patterns.

Any .git/ folder present in any subdirectory will be ignored. However, please be aware that the .gitignore file is not taken into account.

Uses HfApi.create_commit under the hood.

Raises the following errors:

multi_commits is experimental. Its API and behavior is subject to change in the future without prior notice.

Example:

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# Upload checkpoints folder except the log files
>>> upload_folder(
...     folder_path="local/checkpoints",
...     path_in_repo="remote/experiment/checkpoints",
...     repo_id="username/my-dataset",
...     repo_type="datasets",
...     token="my_token",
...     ignore_patterns="**/logs/*.txt",
... )
# "https://huggingface.co/datasets/username/my-dataset/tree/main/remote/experiment/checkpoints"

# Upload checkpoints folder including logs while deleting existing logs from the repo
# Useful if you don't know exactly which log files have already being pushed
>>> upload_folder(
...     folder_path="local/checkpoints",
...     path_in_repo="remote/experiment/checkpoints",
...     repo_id="username/my-dataset",
...     repo_type="datasets",
...     token="my_token",
...     delete_patterns="**/logs/*.txt",
... )
"https://huggingface.co/datasets/username/my-dataset/tree/main/remote/experiment/checkpoints"

# Upload checkpoints folder while creating a PR
>>> upload_folder(
...     folder_path="local/checkpoints",
...     path_in_repo="remote/experiment/checkpoints",
...     repo_id="username/my-dataset",
...     repo_type="datasets",
...     token="my_token",
...     create_pr=True,
... )
"https://huggingface.co/datasets/username/my-dataset/tree/refs%2Fpr%2F1/remote/experiment/checkpoints"

whoami

( token: Optional[str] = None )

Parameters

token (str, optional) — Hugging Face token. Will default to the locally saved token if not provided.

Call HF API to know “whoami”.

huggingface_hub.plan_multi_commits

( operations: typing.Iterable[typing.Union[huggingface_hub._commit_api.CommitOperationAdd, huggingface_hub._commit_api.CommitOperationDelete]]max_operations_per_commit: int = 50max_upload_size_per_commit: int = 2147483648 ) → Tuple[List[List[CommitOperationAdd]], List[List[CommitOperationDelete]]]

Parameters

operations (List of CommitOperation()) — The list of operations to split into commits.
max_operations_per_commit (int) — Maximum number of operations in a single commit. Defaults to 50.
max_upload_size_per_commit (int) — Maximum size to upload (in bytes) in a single commit. Defaults to 2GB. Files bigger than this limit are uploaded, 1 per commit.

Returns

Tuple[List[List[CommitOperationAdd]], List[List[CommitOperationDelete]]]

Split a list of operations in a list of commits to perform.

Implementation follows a sub-optimal (yet simple) algorithm:

Delete operations are grouped together by commits of maximum max_operations_per_commits operations.
All additions exceeding max_upload_size_per_commit are committed 1 by 1.
All remaining additions are grouped together and split each time the max_operations_per_commit or the max_upload_size_per_commit limit is reached.

plan_multi_commits is experimental. Its API and behavior is subject to change in the future without prior notice.

Example:

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>>> from huggingface_hub import HfApi, plan_multi_commits
>>> addition_commits, deletion_commits = plan_multi_commits(
...     operations=[
...          CommitOperationAdd(...),
...          CommitOperationAdd(...),
...          CommitOperationDelete(...),
...          CommitOperationDelete(...),
...          CommitOperationAdd(...),
...     ],
... )
>>> HfApi().create_commits_on_pr(
...     repo_id="my-cool-model",
...     addition_commits=addition_commits,
...     deletion_commits=deletion_commits,
...     (...)
...     verbose=True,
... )

The initial order of the operations is not guaranteed! All deletions will be performed before additions. If you are not updating multiple times the same file, you are fine.

API Dataclasses

CommitInfo

class huggingface_hub.CommitInfo

( commit_url: strcommit_message: strcommit_description: stroid: strpr_url: Optional[str] = None )

Parameters

commit_url (str) — Url where to find the commit.
commit_message (str) — The summary (first line) of the commit that has been created.
commit_description (str) — Description of the commit that has been created. Can be empty.
oid (str) — Commit hash id. Example: "91c54ad1727ee830252e457677f467be0bfd8a57".
pr_url (str, optional) — Url to the PR that has been created, if any. Populated when create_pr=True is passed.
pr_revision (str, optional) — Revision of the PR that has been created, if any. Populated when create_pr=True is passed. Example: "refs/pr/1".

Data structure containing information about a newly created commit.

DatasetInfo

class huggingface_hub.hf_api.DatasetInfo

( id: Optional[str] = Nonesha: Optional[str] = NonelastModified: Optional[str] = Nonetags: Optional[List[str]] = Nonesiblings: Optional[List[Dict]] = Noneprivate: bool = Falseauthor: Optional[str] = Nonedescription: Optional[str] = Nonecitation: Optional[str] = NonecardData: Optional[dict] = None**kwargs )

Parameters

id (str, optional) — ID of dataset repository.
sha (str, optional) — repo sha at this particular revision
lastModified (str, optional) — date of last commit to repo
tags (List[str], optional) — List of tags.
private (bool, optional, defaults to False) — is the repo private
author (str, optional) — repo author
description (str, optional) — Description of the dataset
citation (str, optional) — Dataset citation
cardData (Dict, optional) — Metadata of the model card as a dictionary.
kwargs (Dict, optional) — Kwargs that will be become attributes of the class.

Info about a dataset accessible from huggingface.co

GitRefInfo

class huggingface_hub.GitRefInfo

( data: Dict )

Parameters

name (str) — Name of the reference (e.g. tag name or branch name).
ref (str) — Full git ref on the Hub (e.g. "refs/heads/main" or "refs/tags/v1.0").
target_commit (str) — OID of the target commit for the ref (e.g. "e7da7f221d5bf496a48136c0cd264e630fe9fcc8")

Contains information about a git reference for a repo on the Hub.

GitCommitInfo

class huggingface_hub.GitCommitInfo

( data: Dict )

Parameters

commit_id (str) — OID of the commit (e.g. "e7da7f221d5bf496a48136c0cd264e630fe9fcc8")
authors (List[str]) — List of authors of the commit.
created_at (datetime) — Datetime when the commit was created.
title (str) — Title of the commit. This is a free-text value entered by the authors.
message (str) — Description of the commit. This is a free-text value entered by the authors.
formatted_title (str) — Title of the commit formatted as HTML. Only returned if formatted=True is set.
formatted_message (str) — Description of the commit formatted as HTML. Only returned if formatted=True is set.

GitRefs

class huggingface_hub.GitRefs

( branches: List[GitRefInfo]converts: List[GitRefInfo]tags: List[GitRefInfo] )

Parameters

Contains information about all git references for a repo on the Hub.

ModelInfo

class huggingface_hub.hf_api.ModelInfo

( modelId: Optional[str] = Nonesha: Optional[str] = NonelastModified: Optional[str] = Nonetags: Optional[List[str]] = Nonepipeline_tag: Optional[str] = Nonesiblings: Optional[List[Dict]] = Noneprivate: bool = Falseauthor: Optional[str] = Noneconfig: Optional[Dict] = NonesecurityStatus: Optional[Dict] = None**kwargs )

Parameters

modelId (str, optional) — ID of model repository.
sha (str, optional) — repo sha at this particular revision
lastModified (str, optional) — date of last commit to repo
tags (List[str], optional) — List of tags.
pipeline_tag (str, optional) — Pipeline tag to identify the correct widget.
private (bool, optional, defaults to False) — is the repo private
author (str, optional) — repo author
config (Dict, optional) — Model configuration information
securityStatus (Dict, optional) — Security status of the model. Example: {"containsInfected": False}
kwargs (Dict, optional) — Kwargs that will be become attributes of the class.

Info about a model accessible from huggingface.co

RepoFile

class huggingface_hub.hf_api.RepoFile

( rfilename: strsize: Optional[int] = NoneblobId: Optional[str] = Nonelfs: Optional[BlobLfsInfo] = None**kwargs )

Parameters

rfilename (str) — file name, relative to the repo root. This is the only attribute that’s guaranteed to be here, but under certain conditions there can certain other stuff.

Data structure that represents a public file inside a repo, accessible from huggingface.co

RepoUrl

class huggingface_hub.RepoUrl

( url: Anyendpoint: Optional[str] = None )

Parameters

url (Any) — String value of the repo url.

Raises

Subclass of str describing a repo URL on the Hub.

RepoUrl is returned by HfApi.create_repo. It inherits from str for backward compatibility. At initialization, the URL is parsed to populate properties:

endpoint (str)
namespace (Optional[str])
repo_name (str)
repo_id (str)
repo_type (Literal["model", "dataset", "space"])
url (str)

Example:

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>>> RepoUrl('https://huggingface.co/gpt2')
RepoUrl('https://huggingface.co/gpt2', endpoint='https://huggingface.co', repo_type='model', repo_id='gpt2')

>>> RepoUrl('https://hub-ci.huggingface.co/datasets/dummy_user/dummy_dataset', endpoint='https://hub-ci.huggingface.co')
RepoUrl('https://hub-ci.huggingface.co/datasets/dummy_user/dummy_dataset', endpoint='https://hub-ci.huggingface.co', repo_type='dataset', repo_id='dummy_user/dummy_dataset')

>>> RepoUrl('hf://datasets/my-user/my-dataset')
RepoUrl('hf://datasets/my-user/my-dataset', endpoint='https://huggingface.co', repo_type='dataset', repo_id='user/dataset')

>>> HfApi.create_repo("dummy_model")
RepoUrl('https://huggingface.co/Wauplin/dummy_model', endpoint='https://huggingface.co', repo_type='model', repo_id='Wauplin/dummy_model')

SpaceInfo

class huggingface_hub.hf_api.SpaceInfo

( id: Optional[str] = Nonesha: Optional[str] = NonelastModified: Optional[str] = Nonesiblings: Optional[List[Dict]] = Noneprivate: bool = Falseauthor: Optional[str] = None**kwargs )

Parameters

id (str, optional) — id of space
sha (str, optional) — repo sha at this particular revision
lastModified (str, optional) — date of last commit to repo
siblings (List[RepoFile], optional) — list of huggingface_hub.hf_api.RepoFIle objects that constitute the Space
private (bool, optional, defaults to False) — is the repo private
author (str, optional) — repo author
kwargs (Dict, optional) — Kwargs that will be become attributes of the class.

Info about a Space accessible from huggingface.co

This is a “dataclass” like container that just sets on itself any attribute passed by the server.

User

class huggingface_hub.User

( avatar_url: strusername: strfullname: str )

Parameters

avatar_url (str) — URL of the user’s avatar.
username (str) — Name of the user on the Hub (unique).
fullname (str) — User’s full name.

Contains information about a user on the Hub.

UserLikes

class huggingface_hub.UserLikes

( user: strtotal: intdatasets: List[str]models: List[str]spaces: List[str] )

Parameters

user (str) — Name of the user for which we fetched the likes.
total (int) — Total number of likes.
datasets (List[str]) — List of datasets liked by the user (as repo_ids).
models (List[str]) — List of models liked by the user (as repo_ids).
spaces (List[str]) — List of spaces liked by the user (as repo_ids).

Contains information about a user likes on the Hub.

CommitOperation

Below are the supported values for CommitOperation():

class huggingface_hub.CommitOperationAdd

( path_in_repo: strpath_or_fileobj: typing.Union[str, pathlib.Path, bytes, typing.BinaryIO] )

Parameters

path_in_repo (str) — Relative filepath in the repo, for example: "checkpoints/1fec34a/weights.bin"
path_or_fileobj (str, Path, bytes, or BinaryIO) — Either:
- a path to a local file (as str or pathlib.Path) to upload
- a buffer of bytes (bytes) holding the content of the file to upload
- a “file object” (subclass of io.BufferedIOBase), typically obtained with open(path, "rb"). It must support seek() and tell() methods.

Raises

ValueError

Data structure holding necessary info to upload a file to a repository on the Hub.

as_file

( with_tqdm: bool = False )

Parameters

with_tqdm (bool, optional, defaults to False) — If True, iterating over the file object will display a progress bar. Only works if the file-like object is a path to a file. Pure bytes and buffers are not supported.

A context manager that yields a file-like object allowing to read the underlying data behind path_or_fileobj.

Example:

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>>> operation = CommitOperationAdd(
...        path_in_repo="remote/dir/weights.h5",
...        path_or_fileobj="./local/weights.h5",
... )
CommitOperationAdd(path_in_repo='remote/dir/weights.h5', path_or_fileobj='./local/weights.h5')

>>> with operation.as_file() as file:
...     content = file.read()

>>> with operation.as_file(with_tqdm=True) as file:
...     while True:
...         data = file.read(1024)
...         if not data:
...              break
config.json: 100%|█████████████████████████| 8.19k/8.19k [00:02<00:00, 3.72kB/s]

>>> with operation.as_file(with_tqdm=True) as file:
...     requests.put(..., data=file)
config.json: 100%|█████████████████████████| 8.19k/8.19k [00:02<00:00, 3.72kB/s]

b64content

( )

The base64-encoded content of path_or_fileobj

Returns: bytes

class huggingface_hub.CommitOperationDelete

( path_in_repo: stris_folder: typing.Union[bool, typing.Literal['auto']] = 'auto' )

Parameters

path_in_repo (str) — Relative filepath in the repo, for example: "checkpoints/1fec34a/weights.bin" for a file or "checkpoints/1fec34a/" for a folder.
is_folder (bool or Literal["auto"], optional) — Whether the Delete Operation applies to a folder or not. If “auto”, the path type (file or folder) is guessed automatically by looking if path ends with a ”/” (folder) or not (file). To explicitly set the path type, you can set is_folder=True or is_folder=False.

Data structure holding necessary info to delete a file or a folder from a repository on the Hub.

class huggingface_hub.CommitOperationCopy

( src_path_in_repo: strpath_in_repo: strsrc_revision: typing.Optional[str] = None )

Parameters

src_path_in_repo (str) — Relative filepath in the repo of the file to be copied, e.g. "checkpoints/1fec34a/weights.bin".
path_in_repo (str) — Relative filepath in the repo where to copy the file, e.g. "checkpoints/1fec34a/weights_copy.bin".
src_revision (str, optional) — The git revision of the file to be copied. Can be any valid git revision. Default to the target commit revision.

Data structure holding necessary info to copy a file in a repository on the Hub.

Limitations:

Only LFS files can be copied. To copy a regular file, you need to download it locally and re-upload it
Cross-repository copies are not supported.

CommitScheduler

class huggingface_hub.CommitScheduler

( repo_id: strfolder_path: typing.Union[str, pathlib.Path]every: typing.Union[int, float] = 5path_in_repo: typing.Optional[str] = Nonerepo_type: typing.Optional[str] = Nonerevision: typing.Optional[str] = Noneprivate: bool = Falsetoken: typing.Optional[str] = Noneallow_patterns: typing.Union[typing.List[str], str, NoneType] = Noneignore_patterns: typing.Union[typing.List[str], str, NoneType] = Nonesquash_history: bool = Falsehf_api: typing.Optional[ForwardRef('HfApi')] = None )

Parameters

repo_id (str) — The id of the repo to commit to.
folder_path (str or Path) — Path to the local folder to upload regularly.
every (int or float, optional) — The number of minutes between each commit. Defaults to 5 minutes.
path_in_repo (str, optional) — Relative path of the directory in the repo, for example: "checkpoints/". Defaults to the root folder of the repository.
repo_type (str, optional) — The type of the repo to commit to. Defaults to model.
revision (str, optional) — The revision of the repo to commit to. Defaults to main.
private (bool, optional) — Whether to make the repo private. Defaults to False. This value is ignored if the repo already exist.
token (str, optional) — The token to use to commit to the repo. Defaults to the token saved on the machine.
allow_patterns (List[str] or str, optional) — If provided, only files matching at least one pattern are uploaded.
ignore_patterns (List[str] or str, optional) — If provided, files matching any of the patterns are not uploaded.
squash_history (bool, optional) — Whether to squash the history of the repo after each commit. Defaults to False. Squashing commits is useful to avoid degraded performances on the repo when it grows too large.

Scheduler to upload a local folder to the Hub at regular intervals (e.g. push to hub every 5 minutes).

Example:

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>>> from pathlib import Path
>>> from huggingface_hub import CommitScheduler

# Scheduler uploads every 10 minutes
>>> csv_path = Path("watched_folder/data.csv")
>>> CommitScheduler(repo_id="test_scheduler", repo_type="dataset", folder_path=csv_path.parent, every=10)

>>> with csv_path.open("a") as f:
...     f.write("first line")

# Some time later (...)
>>> with csv_path.open("a") as f:
...     f.write("second line")

push_to_hub

( )

Push folder to the Hub and return the commit info.

This method is not meant to be called directly. It is run in the background by the scheduler, respecting a queue mechanism to avoid concurrent commits. Making a direct call to the method might lead to concurrency issues.

stop

( )

Stop the scheduler.

A stopped scheduler cannot be restarted. Mostly for tests purposes.

trigger

( )

Trigger a push_to_hub and return a future.

This method is automatically called every every minutes. You can also call it manually to trigger a commit immediately, without waiting for the next scheduled commit.

Token helper

huggingface_hub stores the authentication information locally so that it may be re-used in subsequent methods.

class huggingface_hub.HfFolder

( )

delete_token

( )

Deletes the token from storage. Does not fail if token does not exist.

get_token

( ) → str or None

Returns

str or None

The token, None if it doesn’t exist.

Get token or None if not existent.

Note that a token can be also provided using the HUGGING_FACE_HUB_TOKEN environment variable.

save_token

( token: str )

Parameters

Save token, creating folder as needed.

Token is saved in the huggingface home folder. You can configure it by setting the HF_HOME environment variable.

Search helpers

Some helpers to filter repositories on the Hub are available in the huggingface_hub package.

DatasetFilter

class huggingface_hub.DatasetFilter

( author: typing.Optional[str] = Nonebenchmark: typing.Union[typing.List[str], str, NoneType] = Nonedataset_name: typing.Optional[str] = Nonelanguage_creators: typing.Union[typing.List[str], str, NoneType] = Nonelanguage: typing.Union[typing.List[str], str, NoneType] = Nonemultilinguality: typing.Union[typing.List[str], str, NoneType] = Nonesize_categories: typing.Union[typing.List[str], str, NoneType] = Nonetask_categories: typing.Union[typing.List[str], str, NoneType] = Nonetask_ids: typing.Union[typing.List[str], str, NoneType] = None )

Parameters

author (str, optional) — A string or list of strings that can be used to identify datasets on the Hub by the original uploader (author or organization), such as facebook or huggingface.
benchmark (str or List, optional) — A string or list of strings that can be used to identify datasets on the Hub by their official benchmark.
dataset_name (str, optional) — A string or list of strings that can be used to identify datasets on the Hub by its name, such as SQAC or wikineural
language_creators (str or List, optional) — A string or list of strings that can be used to identify datasets on the Hub with how the data was curated, such as crowdsourced or machine_generated.
language (str or List, optional) — A string or list of strings representing a two-character language to filter datasets by on the Hub.
multilinguality (str or List, optional) — A string or list of strings representing a filter for datasets that contain multiple languages.
size_categories (str or List, optional) — A string or list of strings that can be used to identify datasets on the Hub by the size of the dataset such as 100K<n<1M or 1M<n<10M.
task_categories (str or List, optional) — A string or list of strings that can be used to identify datasets on the Hub by the designed task, such as audio_classification or named_entity_recognition.
task_ids (str or List, optional) — A string or list of strings that can be used to identify datasets on the Hub by the specific task such as speech_emotion_recognition or paraphrase.

A class that converts human-readable dataset search parameters into ones compatible with the REST API. For all parameters capitalization does not matter.

Examples:

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>>> from huggingface_hub import DatasetFilter

>>> # Using author
>>> new_filter = DatasetFilter(author="facebook")

>>> # Using benchmark
>>> new_filter = DatasetFilter(benchmark="raft")

>>> # Using dataset_name
>>> new_filter = DatasetFilter(dataset_name="wikineural")

>>> # Using language_creator
>>> new_filter = DatasetFilter(language_creator="crowdsourced")

>>> # Using language
>>> new_filter = DatasetFilter(language="en")

>>> # Using multilinguality
>>> new_filter = DatasetFilter(multilinguality="multilingual")

>>> # Using size_categories
>>> new_filter = DatasetFilter(size_categories="100K<n<1M")

>>> # Using task_categories
>>> new_filter = DatasetFilter(task_categories="audio_classification")

>>> # Using task_ids
>>> new_filter = DatasetFilter(task_ids="paraphrase")

ModelFilter

class huggingface_hub.ModelFilter

( author: typing.Optional[str] = Nonelibrary: typing.Union[typing.List[str], str, NoneType] = Nonelanguage: typing.Union[typing.List[str], str, NoneType] = Nonemodel_name: typing.Optional[str] = Nonetask: typing.Union[typing.List[str], str, NoneType] = Nonetrained_dataset: typing.Union[typing.List[str], str, NoneType] = Nonetags: typing.Union[typing.List[str], str, NoneType] = None )

Parameters

author (str, optional) — A string that can be used to identify models on the Hub by the original uploader (author or organization), such as facebook or huggingface.
library (str or List, optional) — A string or list of strings of foundational libraries models were originally trained from, such as pytorch, tensorflow, or allennlp.
language (str or List, optional) — A string or list of strings of languages, both by name and country code, such as “en” or “English”
model_name (str, optional) — A string that contain complete or partial names for models on the Hub, such as “bert” or “bert-base-cased”
task (str or List, optional) — A string or list of strings of tasks models were designed for, such as: “fill-mask” or “automatic-speech-recognition”
tags (str or List, optional) — A string tag or a list of tags to filter models on the Hub by, such as text-generation or spacy.
trained_dataset (str or List, optional) — A string tag or a list of string tags of the trained dataset for a model on the Hub.

A class that converts human-readable model search parameters into ones compatible with the REST API. For all parameters capitalization does not matter.

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>>> from huggingface_hub import ModelFilter

>>> # For the author_or_organization
>>> new_filter = ModelFilter(author_or_organization="facebook")

>>> # For the library
>>> new_filter = ModelFilter(library="pytorch")

>>> # For the language
>>> new_filter = ModelFilter(language="french")

>>> # For the model_name
>>> new_filter = ModelFilter(model_name="bert")

>>> # For the task
>>> new_filter = ModelFilter(task="text-classification")

>>> # Retrieving tags using the `HfApi.get_model_tags` method
>>> from huggingface_hub import HfApi

>>> api = HfApi()
# To list model tags

>>> api.get_model_tags()
# To list dataset tags

>>> api.get_dataset_tags()
>>> new_filter = ModelFilter(tags="benchmark:raft")

>>> # Related to the dataset
>>> new_filter = ModelFilter(trained_dataset="common_voice")

DatasetSearchArguments

class huggingface_hub.DatasetSearchArguments

( api: Optional['HfApi'] = None )

A nested namespace object holding all possible values for properties of datasets currently hosted in the Hub with tab-completion. If a value starts with a number, it will only exist in the dictionary

Example:

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>>> args = DatasetSearchArguments()

>>> args.author.huggingface
'huggingface'

>>> args.language.en
'language:en'

DatasetSearchArguments is a legacy class meant for exploratory purposes only. Its initialization requires listing all datasets on the Hub which makes it increasingly slower as the number of repos on the Hub increases.

ModelSearchArguments

class huggingface_hub.ModelSearchArguments

( api: Optional['HfApi'] = None )

A nested namespace object holding all possible values for properties of models currently hosted in the Hub with tab-completion. If a value starts with a number, it will only exist in the dictionary

Example:

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>>> args = ModelSearchArguments()

>>> args.author.huggingface
'huggingface'

>>> args.language.en
'en'

ModelSearchArguments is a legacy class meant for exploratory purposes only. Its initialization requires listing all models on the Hub which makes it increasingly slower as the number of repos on the Hub increases.