Hugging Face
The platform where the machine learning community collaborates on models, datasets, and applications, and the maintainer of Transformers, Diffusers, and Datasets.
About
Hugging Face runs the Hub, a platform where the machine learning community collaborates on models, datasets, and applications. Alongside the Hub it offers Spaces for hosted AI apps, Inference Endpoints and Inference Providers for serving models, Storage Buckets, and HuggingChat. Team and Enterprise plans and GPU compute are available as paid options.
The company maintains much of the open source tooling the wider ML ecosystem is built on. Transformers is the model definition framework for state of the art models across text, vision, audio, and multimodal tasks. Diffusers covers diffusion models for image, video, and audio generation in PyTorch. Datasets is a hub of ready to use datasets with fast and efficient data manipulation tools. The organization also maintains Transformers.js for running models in the browser, plus Safetensors, Tokenizers, TRL, PEFT, Accelerate, and Optimum.
The team describes itself as the AI community building the future, and is based in New York City and Paris.
