Hugging Face
Hugging Face brings together an AI community focused on building the future of artificial intelligence.
About Hugging Face
Hugging Face is a web platform where machine learning practitioners share, find, and run models, datasets, and applications. The homepage describes hosting for public models, datasets, and applications, with listings of more than 2 million models and 500,000 datasets. It also lists Spaces for running demos, such as video generation tools.
The platform offers a unified API for accessing more than 45,000 models from AI providers, and paid Compute options for deploying on optimized Inference Endpoints or GPUs. The homepage also describes Team & Enterprise offerings with access controls, single sign-on, audit logs, and dedicated support. The homepage promotes open-source libraries it builds, including Transformers, Diffusers, and PEFT. This entry does not list the platform itself as open source, and pricing is not confirmed.
Key features
- Hosting for public models, datasets, and applications
- Browsable catalog of over 2 million models and 500,000 datasets
- Spaces for running hosted AI applications and demos
- Unified API for accessing more than 45,000 models from AI providers
- Deployment on Inference Endpoints or GPU-backed Spaces through paid Compute
- Team & Enterprise options with single sign-on, audit logs, and access controls
- Large listed catalog of models and datasets, based on counts shown on the homepage
- The Inference Providers API is described as having no service fees
- Maintains open-source ML libraries such as Transformers, Diffusers, and PEFT
- Compute and Enterprise solutions are described as paid offerings
- Single sign-on, audit logs, and dedicated support are listed under the Team & Enterprise offering
Hugging Face at a glance
- Official website
- huggingface.co
- Type
- Community
- Platforms
- Web
- Last checked
- Oct 6, 2026 · Online when checked
- Listed
- Oct 5, 2026
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Hugging Face FAQ
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