huggingface_hub: the official Python client for interacting with the Hugging Face Hub platform

What it solves

It provides a programmatic way to interact with the Hugging Face Hub, a platform for sharing and discovering open-source machine learning models, datasets, and demo apps (Spaces).

How it works

The library acts as a Python client that allows users to perform actions on the Hub via code. It handles authentication via tokens and manages a local cache for downloaded files to optimize performance.

Who it’s for

Machine learning practitioners, researchers, and library developers who want to automate the process of downloading, uploading, and managing AI assets on the Hugging Face Hub.

Highlights

• Asset Management: Download single files or entire repositories (snapshots) and upload files or folders to the Hub.
• Repository Control: Create and manage repositories for models, datasets, and Spaces.
• SaaS-like Inference: Run inference on models that have been deployed on the Hub.
• Discovery: Search for existing models, datasets, and Spaces.
• Community Engagement: Interact with the community through pull requests and comments directly from the client.
• CDN-backed Downloads: Uses Cloudfront to ensure fast global downloads of large files.