What it does
Hugging Face is a platform where the machine learning community shares models, datasets and applications. The home page cites more than 2 million models, 500 thousand datasets and 1 million applications (called Spaces) across text, image, video, audio and 3D, and says you can host unlimited public models, datasets and applications and build a profile that shows your work. For running models, Inference Providers gives access to 45,000+ models from AI providers through one API with no service fees. Inference Endpoints and GPU upgrades for Spaces cover deployment, with GPU compute starting at $0.60 per hour. Team & Enterprise plans start at $20 per user per month and add single sign-on, audit logs, resource groups, regions, private dataset viewing and priority support. The navigation also lists HuggingChat, storage buckets, documentation, learning resources and a forum. The company also maintains open-source libraries, including Transformers, Diffusers, Safetensors, Tokenizers, TRL, PEFT, Accelerate, Transformers.js, smolagents, Text Generation Inference, Datasets and a Python client for the Hub.
Capabilities
- Hub of models, datasets and Spaces apps covering text, image, video, audio and 3D
- Inference Providers: one API for 45,000+ models with no service fees
- Inference Endpoints and GPU upgrades for Spaces
- Team & Enterprise plans with single sign-on, audit logs and priority support
- Open-source libraries such as Transformers, Diffusers, TRL and smolagents
When to use it
- You want to find, try or download open models and datasets
- You want to publish a model, dataset or demo app for others to use
- You want to call many hosted models through a single API
- You need managed GPU deployment or team access controls for ML work
