Hugging Face is a collaborative hub for the machine learning community, enabling the sharing and development of models, datasets, and applications. Users can host and collaborate on an unlimited number of public assets, spanning modalities like text, image, video, audio, and 3D. The platform also provides advanced paid services, including compute solutions for deploying optimized inference endpoints or upgrading space applications with GPU support, and enterprise solutions with features like robust security, access controls, and dedicated assistance for teams.
Trusted by over 50,000 organizations, Hugging Face is a cornerstone of ML innovation, actively contributing to open-source projects such as Transformers, Diffusers, Safetensors, the Hub Python Library, Tokenizers, PEFT, Transformers.js, timm, TRL, Datasets, Text Generation Inference, and Accelerate.
