huggingface/transformers

🤗 Transformers: the model-definition framework for state-of-the-art machine learning models in text, vision, audio, and multimodal models, for both inference and training.

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What it does

Hugging Face Transformers is a massive open-source library that gives developers access to over one million pre-built AI models capable of understanding text, images, audio, and video — all in one place. Think of it as an app store for AI brains, where instead of building intelligence from scratch, teams can plug in ready-made models that already know how to read, listen, see, and respond.

Why it matters for PMs

With 156,000+ stars and deep integration across virtually every major AI training and deployment platform, Transformers has become the de facto standard for how AI models are defined and shared — meaning products built on it benefit from an enormous ecosystem of tools, talent, and ready-to-use capabilities. For PMs and founders, this represents a massive shortcut: AI features that would have taken years and tens of millions of dollars to build can now be assembled and shipped in weeks.

Early Signal Score29

Early stage — limited signal data

Stars
156.6k
Forks
32.1k
Contributors
439
Language
Python

Score updated Feb 18, 2026

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