Hugging Face is an AI company and open-source community focused on advancing and democratizing artificial intelligence through open science. Its platform helps the machine-learning community discover, create, share, and collaborate on models, datasets, and applications. Users can explore a large catalog of models and datasets, try interactive AI applications in Spaces, and publish work to build a public machine-learning profile. The platform supports text, image, video, audio, and 3D use cases.

Hugging Face also develops open-source tools for building and deploying machine-learning systems. Its offerings include Transformers, Diffusers, Datasets, Tokenizers, Safetensors, and libraries for training, fine-tuning, and running models. For organizations, Hugging Face provides paid compute, optimized Inference Endpoints, access to models from multiple providers through a unified API, and team and enterprise plans with features such as single sign-on, access controls, private datasets, and dedicated support. The company serves a broad ecosystem of individual developers, researchers, and organizations, offering resources to support work from experimentation through deployment.