Hub API Endpoints

We have open endpoints that you can use to retrieve information from the Hub as well as perform certain actions such as creating model, dataset or Space repos. We offer a wrapper Python library, huggingface_hub, that allows easy access to these endpoints. We also provide webhooks to receive real-time incremental info about repos. Enjoy!

The base URL for those endpoints below is https://huggingface.co. For example, to construct the /api/models call below, one can call the URL https://huggingface.co/api/models

The Hub API Playground

Want to try out our API? Try it out now on our Playground!

Repo listing API

The following endpoints help get information about models, datasets, and Spaces stored on the Hub.

GET /api/models

Get information from all models in the Hub. The response is paginated, use the Link header to get the next pages. You can specify additional parameters to have more specific results.

• search: Filter based on substrings for repos and their usernames, such as resnet or microsoft
• author: Filter models by an author or organization, such as huggingface or microsoft
• filter: Filter based on tags, such as text-classification or spacy.
• sort: Property to use when sorting, such as downloads or author.
• direction: Direction in which to sort, such as -1 for descending, and anything else for ascending.
• limit: Limit the number of models fetched.
• full: Whether to fetch most model data, such as all tags, the files, etc.
• config: Whether to also fetch the repo config.

Payload:

params = {
    "search":"search",
    "author":"author",
    "filter":"filter",
    "sort":"sort",
    "direction":"direction",
    "limit":"limit",
    "full":"full",
    "config":"config"
}

This is equivalent to huggingface_hub.list_models().

GET /api/models/{repo_id} or /api/models/{repo_id}/revision/{revision}

Get all information for a specific model.

This is equivalent to huggingface_hub.model_info(repo_id, revision).

GET /api/models-tags-by-type

Gets all the available model tags hosted in the Hub.

This is equivalent to huggingface_hub.get_model_tags().

GET /api/datasets

Get information from all datasets in the Hub. The response is paginated, use the Link header to get the next pages. You can specify additional parameters to have more specific results.

• search: Filter based on substrings for repos and their usernames, such as pets or microsoft
• author: Filter datasets by an author or organization, such as huggingface or microsoft
• filter: Filter based on tags, such as task_categories:text-classification or languages:en.
• sort: Property to use when sorting, such as downloads or author.
• direction: Direction in which to sort, such as -1 for descending, and anything else for ascending.
• limit: Limit the number of datasets fetched.
• full: Whether to fetch most dataset data, such as all tags, the files, etc.

Payload:

params = {
    "search":"search",
    "author":"author",
    "filter":"filter",
    "sort":"sort",
    "direction":"direction",
    "limit":"limit",
    "full":"full",
    "config":"config"
}

This is equivalent to huggingface_hub.list_datasets().

GET /api/datasets/{repo_id} or /api/datasets/{repo_id}/revision/{revision}

Get all information for a specific dataset.

• full: Whether to fetch most dataset data, such as all tags, the files, etc.

Payload:

params = {"full": "full"}

This is equivalent to huggingface_hub.dataset_info(repo_id, revision).

GET /api/datasets/{repo_id}/parquet

Get the list of auto-converted parquet files.

Append the subset and the split to the URL to get the list of files for a specific subset and split:

• GET /api/datasets/{repo_id}/parquet/{subset}
• GET /api/datasets/{repo_id}/parquet/{subset}/{split}

GET /api/datasets/{repo_id}/parquet/{subset}/{split}/{n}.parquet

Get the nth shard of the auto-converted parquet files, for a specific subset (also called “config”) and split.

GET /api/datasets/{repo_id}/croissant

Get the Croissant metadata. More details at https://huggingface.co/docs/datasets-server/croissant.

GET /api/datasets-tags-by-type

Gets all the available dataset tags hosted in the Hub.

This is equivalent to huggingface_hub.get_dataset_tags().

GET /api/spaces

Get information from all Spaces in the Hub. The response is paginated, use the Link header to get the next pages. You can specify additional parameters to have more specific results.

• search: Filter based on substrings for repos and their usernames, such as resnet or microsoft
• author: Filter models by an author or organization, such as huggingface or microsoft
• filter: Filter based on tags, such as text-classification or spacy.
• sort: Property to use when sorting, such as downloads or author.
• direction: Direction in which to sort, such as -1 for descending, and anything else for ascending.
• limit: Limit the number of models fetched.
• full: Whether to fetch most model data, such as all tags, the files, etc.

Payload:

params = {
    "search":"search",
    "author":"author",
    "filter":"filter",
    "sort":"sort",
    "direction":"direction",
    "limit":"limit",
    "full":"full",
    "config":"config"
}

This is equivalent to huggingface_hub.list_spaces().

GET /api/spaces/{repo_id} or /api/spaces/{repo_id}/revision/{revision}

Get all information for a specific model.

This is equivalent to huggingface_hub.space_info(repo_id, revision).

Repo API

The following endpoints manage repository settings like creating and deleting a repository.

POST /api/repos/create

Create a repository. It’s a model repo by default.

Parameters:

• type: Type of repo (dataset or space; model by default).
• name: Name of repo.
• organization: Name of organization (optional).
• private: Whether the repo is private.
• sdk: When the type is space (streamlit, gradio, docker or static)

Payload:

payload = {
    "type":"model",
    "name":"name",
    "organization": "organization",
    "private":"private",
    "sdk": "sdk"
}

This is equivalent to huggingface_hub.create_repo().

DELETE /api/repos/delete

Delete a repository. It’s a model repo by default.

Parameters:

• type: Type of repo (dataset or space; model by default).
• name: Name of repo.
• organization: Name of organization (optional).

Payload:

payload = {
    "type": "model",
    "name": "name",
    "organization": "organization",
}

This is equivalent to huggingface_hub.delete_repo().

PUT /api/repos/{repo_type}/{repo_id}/settings

Update repo visibility.

Payload:

payload = {
    "private": "private",
}

This is equivalent to huggingface_hub.update_repo_visibility().

POST /api/repos/move

Move a repository (rename within the same namespace or transfer from user to organization).

Parameters:

• fromRepo: repo to rename.
• toRepo: new name of the repo.
• type: Type of repo (dataset or space; model by default).

Payload:

payload = {
    "fromRepo" : "namespace/repo_name",
    "toRepo" : "namespace2/repo_name2",
    "type": "model",
}

This is equivalent to huggingface_hub.move_repo().

User API

The following endpoint gets information about a user.

GET /api/whoami-v2

Get username and organizations the user belongs to.

Payload:

headers = { "authorization" :  "Bearer $token" }

This is equivalent to huggingface_hub.whoami().

Organization API

The following endpoint gets a list of the Organization members.

GET /api/organizations/{organization_name}/members

Get the organization members.

Payload:

headers = { "authorization" :  "Bearer $token" }

This is equivalent to huggingface_hub.list_organization_members().

Paper Pages API

The following endpoint gets information about a paper.

GET /api/papers/{arxiv_id}

Get the API equivalent of the Paper page, i.e., metadata like authors, summary, and discussion comments.

GET /api/arxiv/{arxiv_id}/repos

Get all the models, datasets, and Spaces that refer to a paper.

GET /api/daily_papers

Get the daily papers curated by AK and the community. It’s the equivalent of https://huggingface.co/papers.

Collections API

Use Collections to group repositories from the Hub (Models, Datasets, Spaces and Papers) on a dedicated page.

You can learn more about it in the Collections guide. Collections can also be managed using the Python client (see guide).

POST /api/collections

Create a new collection on the Hub with a title, a description (optional) and a first item (optional). An item is defined by a type (model, dataset, space or paper) and an id (repo_id or paper_id on the Hub).

Payload:

payload = {
    "title": "My cool models",
    "namespace": "username_or_org",
    "description": "Here is a shortlist of models I've trained.",
    "item" : {
        "type": "model",
        "id": "username/cool-model",
    }
    "private": false,

}

This is equivalent to huggingface_hub.create_collection().

GET /api/collections/{namespace}/{slug}-{id}

Return information about a collection.

This is equivalent to huggingface_hub.get_collection().

GET /api/collections

List collections from the Hub, based on some criteria. The supported parameters are:

• owner (string): filter collections created by a specific user or organization.
• item (string): filter collections containing a specific item. Value must be the item_type and item_id concatenated. Example: "models/teknium/OpenHermes-2.5-Mistral-7B", "datasets/rajpurkar/squad" or "papers/2311.12983".
• sort (string): sort the returned collections. Supported values are "lastModified", "trending" (default) and "upvotes".
• limit (int): maximum number (100) of collections per page.
• q (string): filter based on substrings for titles & descriptions.

If no parameter is set, all collections are returned.

The response is paginated. To get all collections, you must follow the Link header.

Payload:

params = {
    "owner": "TheBloke",
    "item": "models/teknium/OpenHermes-2.5-Mistral-7B",
    "sort": "lastModified",
    "limit" : 1,
}

This is equivalent to huggingface_hub.list_collections().

PATCH /api/collections/{namespace}/{slug}-{id}

Update the metadata of a collection on the Hub. You can’t add or modify the items of the collection with this method. All fields of the payload are optional.

Payload:

payload = {
    "title": "My cool models",
    "description": "Here is a shortlist of models I've trained.",
    "private": false,
    "position": 0, // position of the collection on your profile
    "theme": "green",
}

This is equivalent to huggingface_hub.update_collection_metadata().

DELETE /api/collections/{namespace}/{slug}-{id}

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

This is equivalent to huggingface_hub.delete_collection().

POST /api/collections/{namespace}/{slug}-{id}/item

Add an item to a collection. An item is defined by a type (model, dataset, space or paper) and an id (repo_id or paper_id on the Hub). A note can also be attached to the item (optional).

Payload:

payload = {
    "item" : {
        "type": "model",
        "id": "username/cool-model",
    }
    "note": "Here is the model I trained on ...",
}

This is equivalent to huggingface_hub.add_collection_item().

PATCH /api/collections/{namespace}/{slug}-{id}/items/{item_id}

Update an item in a collection. You must know the item object id which is different from the repo_id/paper_id provided when adding the item to the collection. The item_id can be retrieved by fetching the collection.

You can update the note attached to the item or the position of the item in the collection. Both fields are optional.

payload = {
    "position": 0,
    "note": "Here is the model I trained on ...",
}

This is equivalent to huggingface_hub.update_collection_item().

DELETE /api/collections/{namespace}/{slug}-{id}/items/{item_id}

Remove an item from a collection. You must know the item object id which is different from the repo_id/paper_id provided when adding the item to the collection. The item_id can be retrieved by fetching the collection.

This is equivalent to huggingface_hub.delete_collection_item().