Hugging Face

Hugging Face is a leading platform for the machine learning community, enabling collaboration on models, datasets, and applications. It serves as a central hub where researchers, developers, and organizations can create, discover, and share state-of-the-art machine learning resources.

The platform offers a wide array of features designed to accelerate machine learning workflows and foster innovation:

• Model Hub: Access and contribute to a vast repository of over one million machine learning models, covering a range of modalities including text, image, video, audio, and 3D.
• Datasets: Discover and share more than 250,000 datasets for diverse machine learning tasks, supporting robust experimentation and benchmarking.
• Spaces: Explore and deploy over 400,000 AI applications, allowing users to interact with live machine learning demos and build their own solutions.
• Collaboration Tools: Host unlimited public models, datasets, and applications, and collaborate with a global community of practitioners and organizations.
• Open Source Libraries: Leverage industry-standard libraries such as Transformers, Diffusers, Tokenizers, and more, supporting both research and production use cases.
• Compute and Enterprise Solutions: Deploy models on optimized inference endpoints, upgrade applications to GPU, and access enterprise-grade features including security, access controls, and dedicated support.

Hugging Face is trusted by over 50,000 organizations worldwide, including leading technology companies and research institutions. The platform is committed to building the foundation of machine learning tooling in an open, collaborative, and secure environment.