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Hugging Face is an AI community platform focused on building the future of machine learning through collaboration. The platform serves as a central hub where the machine learning community can work together on models, datasets, and applications. It hosts over 2 million models, 1 million applications, and 500,000 datasets across various modalities including text, image, video, audio, and 3D.

The platform enables users to create, discover, and collaborate on machine learning projects, host unlimited public models and datasets, and build professional ML portfolios. In addition to its free community offerings, Hugging Face provides paid enterprise solutions including team collaboration tools with enterprise-grade security, access controls, dedicated support, and compute services through optimized Inference Endpoints.

The platform also offers access to over 45,000 models from leading AI providers through a unified API. Hugging Face develops and maintains numerous open-source machine learning tools including Transformers, Diffusers, Safetensors, Tokenizers, and Datasets libraries, which form foundational tooling for the ML community.

More than 50,000 organizations use the platform, including major companies like Meta, Amazon, Google, Intel, Microsoft, Grammarly, and Writer.