Hugging Face is a platform and community for machine learning and AI collaboration. It helps individuals, researchers, and organizations discover, build, share, and deploy models, datasets, and applications across text, image, audio, video, and other modalities. The company also develops open-source machine learning tools and offers compute, inference, and enterprise services.
- Founded
- 2016
- Headquarters
- New York
- United States
- Employees
- 51 to 200
- Status
- Private
- GitHub
- 481 repos
- 70,623 followers
MCP servers
Connect to Hugging Face Hub and thousands of Gradio AI Applications
Open source
🤗 Transformers: the model-definition framework for state-of-the-art machine learning models in text, vision, audio, and multimodal models, for both inference and training.
🤗 Diffusers: State-of-the-art diffusion models for image, video, and audio generation in PyTorch.
🤗 The largest hub of ready-to-use datasets for AI models with fast, easy-to-use and efficient data manipulation tools
Articles
A dispute about an AI documentary raises a useful distinction between an agent’s actions, generated logs and claims about intent.
$12.9B: Nvidia acquires Hugging Face. Find out what this massive deal means for AI developers and the future of the industry.
Find the best-performing LLM for your hardware with whichllm. It ranks models on live benchmarks, not just size. See how to pick the right one.
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