Hugging Face Hub API

The Hugging Face Hub API, accessed through the huggingface_hub package in Python, provides a comprehensive set of methods and classes to interact with the Hugging Face Hub platform.

It allows users to access and manage repositories, models, datasets, and other resources available on the Hub. Here's a detailed summary of the capabilities of the Hugging Face Hub API:

Repository Management

• Create a new repository on the Hub using create_repo().

• Delete a repository from the Hub using delete_repo().

• Update the visibility (public/private) of a repository using update_repo_visibility().

• Move a repository from one namespace to another using move_repo().

Model and Dataset Information

• Get information about a specific model using model_info().

• Get information about a specific dataset using dataset_info().

• Get information about a specific space using space_info().

• Get generic repository information using repo_info().

Listing Resources

• List all available models on the Hub using list_models().

• List all available datasets on the Hub using list_datasets().

• List all available metrics on the Hub using list_metrics().

• Filter models and datasets based on various criteria using ModelFilter and DatasetFilter classes.

File Management

• Upload a local file to a repository using upload_file().

• Delete a file from a repository using delete_file().

• List all files in a repository using list_repo_files().

Authentication

• Set the access token for authentication using set_access_token().

• Unset the access token using unset_access_token().

• Get information about the authenticated user using whoami().

Local Storage

• The HfFolder class provides methods to manage local storage of authentication tokens.

• Save a token using save_token(), get a token using get_token(), and delete a token using delete_token().

Filtering Helpers

• The ModelFilter and DatasetFilter classes provide an easy way to construct filters for searching models and datasets based on various criteria such as author, task, language, tags, etc.

• The ModelSearchArguments and DatasetSearchArguments classes provide tab-completion and access to all possible values for properties of models and datasets hosted on the Hub.

Technical Details

• The API communicates with the Hugging Face Hub platform using HTTP requests.

• Authentication is performed using access tokens, which can be obtained from the Hugging Face website and set using the set_access_token() method.

• The API uses JSON format for data exchange.

• The HfApi class serves as the main entry point for interacting with the API, and most methods are accessible directly from the huggingface_hub package.

• The API supports various parameters for filtering, sorting, and pagination when listing resources.

• Error handling is provided through specific exception classes such as RepositoryNotFoundError and RevisionNotFoundError.

• The API allows specifying the revision (e.g., branch or tag) when accessing repository-related information.

• The upload_file() method supports uploading files up to 5GB in size.

The Hugging Face Hub API provides a powerful and flexible way to interact with the Hugging Face Hub platform programmatically.

It enables users to manage repositories, access model and dataset information, upload and delete files, and perform various search and filtering operations.