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Hugging Face
A collaborative platform for machine learning.
Hugging Face hosts models, datasets, demos, and tools that help the machine-learning community build and share work.
Key features
- Model Hub
- Dataset Hub
- Spaces demos
- Inference services
- Open-source libraries
Pros and tradeoffs
Strengths
- Large open machine-learning community
- Broad model and dataset catalog
- Useful hosting and collaboration tooling
Consider before choosing
- Quality and documentation vary by repository
- Infrastructure costs can grow with usage
What people use Hugging Face for
- Discover open models
- Publish datasets
- Host ML demos
- Evaluate models
- Build inference pipelines
Frequently asked questions
Is Hugging Face open source?
Many Hugging Face libraries are open source, while the hosted platform also offers commercial services.
Can teams host private models?
The platform supports private repositories and organization collaboration features.
