
The AI community building the future
Hugging Face has established itself as the de facto central hub for the machine learning community, offering an unparalleled repository of models, datasets, and applications. The platform successfully bridges open-source accessibility with enterprise requirements, making it valuable for both individual practitioners and large organizations building AI solutions.

Hugging Face is the leading AI community platform where machine learning practitioners collaborate on models, datasets, and applications. Founded with a mission to democratize artificial intelligence through open source and open science, the platform has grown to host over 2 million models, 500,000+ datasets, and more than 1 million applications. The company serves as a central hub where individual developers, researchers, and organizations can create, discover, and share machine learning resources. The platform combines community-driven collaboration with enterprise-grade solutions, serving over 50,000 organizations including major technology companies such as Google, Microsoft, Amazon, Meta, and Intel. Hugging Face maintains a robust open-source ecosystem with widely-adopted tools including Transformers, Diffusers, and Tokenizers, which have collectively garnered hundreds of thousands of GitHub stars. Their offerings span from free community features to paid compute solutions and enterprise packages with advanced security, access controls, and dedicated support. Beyond hosting and collaboration, Hugging Face provides inference providers that offer access to 45,000+ models through a unified API, along with compute solutions for deploying optimized inference endpoints. The platform supports all major AI modalities including text, image, video, audio, and 3D, making it a comprehensive destination for the entire machine learning workflow from development to deployment.