Hugging Face Hub (Python client)
Official Python client for the Hugging Face Hub: upload/download models, datasets, and manage tokens and repos.
Why it is included
Core infrastructure repo highlighted on TAAFT’s machine-learning repository listings.
Best for
Any Python ML pipeline that programmatically pulls or pushes Hub artifacts.
Strengths
- De facto Hub API
- Caching
- Git LFS aware
Limitations
- Python-first; JS/TS teams use huggingface.js
Good alternatives
Manual git + LFS · REST calls
Related tools
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Hugging Face library for large shared datasets: memory mapping, streaming, Arrow-backed columns, and Hub integration.
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Hugging Face AutoTrain
AutoTrain Advanced: low-code training flows for classification, LLM fine-tunes, and diffusion tasks tied to the Hub.
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Hugging Face.js
TypeScript/JavaScript libraries to call Inference API, manage Hub assets, and build browser or Node AI features.
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