Hugging Face

An artificial intelligence community platform, dedicated to open-source machine learning models, datasets, and applications.

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Introduction

AI community platform for open-source ML models, datasets, and applications.

What is Hugging Face?

Hugging Face is an artificial intelligence community that works towards building the future through open-source initiatives and scientific collaboration. It provides a platform where the machine learning community can jointly develop models, datasets, and applications. Hugging Face offers tools for creating, discovering, and collaborating on machine learning projects, including unlimited hosting for models, datasets, and applications. It also offers paid computing services and enterprise solutions to accelerate the development of machine learning technologies.

How to use Hugging Face?

Users can explore and download pre-trained models, datasets, and applications on the Hub. They can also host and collaborate on their own machine learning projects, deploy models at inference endpoints, or upgrade their Spaces applications to take advantage of GPU capabilities.

The core features of Hugging Face

Model Library: Access thousands of pre-trained models.
Dataset repository: A storage facility that compiles various datasets for machine learning tasks.
Spaces: Platforms for building and hosting machine learning applications.
Inference Endpoint: Deploy models on fully managed infrastructure.
Computing: Paid computing resources used to host and run machine learning applications.
Enterprise Solutions: Enterprise-level security, access control, and specialized support.

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Updated：2026-11-07