Hugging Face
Hugging Face hosts the Hub for open models, datasets and Spaces apps, and maintains libraries such as Transformers, Diffusers and PEFT.
About
Hugging Face runs a collaboration platform for machine learning where users host models, datasets and applications. Its site reports over two million models, a million Spaces apps and hundreds of thousands of datasets. Paid products include Inference Endpoints, Spaces GPU hardware, an inference API covering tens of thousands of models, and Team and Enterprise plans. The company also maintains open-source libraries including Transformers, Diffusers, Safetensors, TRL, PEFT and Datasets. Its terms identify it as a Delaware corporation.
- Organization type
- ai company
- Headquarters region
- United States
- Founded
- Not stated
- Listings in the graph
- 1
- Last updated
- 6 October 2026
- Published
- 6 October 2026
Data sources & provenance
Where this information came from, how it was checked and when it was last looked at. “Last updated” records a change to the record — it does not mean the record was verified.
- Data quality
- Data quality: Editorially Reviewed
- Primary source
- huggingface.co
- Sources cited
- 2
- Last reviewed
- 6 October 2026
- Last updated
- 6 October 2026
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Products & technologies
Services
No published services from this organization yet.
News & insights from this region
analysis · 17 October 2026
State AI Rules Remain a Risk Despite Federal Restraint, Lawyer Argues
Writing in Bloomberg Law, Abhishek Kambli argues that lighter federal AI enforcement does not remove companies’ exposure to state laws and …
news · 17 October 2026
AI safety pact draws investor enthusiasm and oversight concerns
An Associated Press report published by the Tribune Chronicle describes investor support for Trump's AI policies and concerns about relying…
report · 9 October 2026
ZERO TRUST FOR OPERATIONAL TECHNOLOGY
A practical field guide to protecting critical infrastructure
Events in this region
No related events published yet.
Learning resources
course
LLM Course
This learning experience concentrates on transformers, tokenization and the Hugging Face model ecosystem. The lessons guide learners to use…
course
Context Course
The curriculum examines context engineering for AI coding agents, including skills, MCP, plugins and subagents, with emphasis on how the id…
course
Robotics Course
At the center of this course are the LeRobot toolkit and data-driven robotic learning. Participants work with robot datasets, policies and …
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