Hugging Face
The open-source hub for models, datasets, and tools; de facto infrastructure for the ML community.
Think of it like
GitHub for machine learning—everyone posts their models there.
Example
Hosts 500k+ models, from tiny 1M-parameter models to massive 70B+ parameter models, all downloadable.
How it actually works
Hugging Face provides the `transformers` library (most-used PyTorch wrapper), Model Hub (for sharing), Datasets library, Spaces (for demos), and recently, inference APIs. Major force in democratizing model access.
For product teams
Network effects: more models attract more users, which attract more contributors. Revenue from API and enterprise.
For engineers
`transformers` library is the standard way to load and run models; Spaces is a no-code way to demo.
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