Developer Frameworks & Infrastructure
Hugging Face
The community hub for models, datasets, and demos
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GitHub stars
168.7K
168,692 stars
Community forks
35.1K
Open collaboration
License
Apache-2.0
Read the full license
Platforms
macOS - Windows - Linux
Also Web
Last activity
Nov 9
Repository push date
Best for
Find the right model for a task
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Pricing checked Sep 2026
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About Hugging Face
Hugging Face is the public infrastructure of open machine learning: a hub hosting more than a million models and datasets, the transformers library that became the field's standard interface, and Spaces for hosting Gradio and Streamlit demos. Model cards record intended use, licenses, and training details, which keeps provenance visible.
Beyond the hub, the company offers Serverless Inference APIs, dedicated Inference Endpoints, and an Enterprise Hub with SSO and audit features. Nearly every major lab and research organization publishes weights there, so new models tend to surface on Hugging Face before anywhere else.
Public repositories are free, Pro is $9 per month with inference credits and private options, and heavier serving bills by usage. It suits ML engineers and researchers who want the widest model selection; free inference is rate limited, and model quality varies card by card, so evaluation is on you.
- Largest collection of open models and datasets anywhere
- transformers is the de facto standard ML library
- Free public hosting for models, datasets, and demos
- Model cards keep licensing and provenance visible
- Free serverless inference is rate limited and often slow
- Model quality varies wildly; evaluation is on you
- Spaces resources are modest unless you pay
pip install huggingface_hubCentral platform for open source machine learning models, datasets, and collaborative tools.
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