huggingface/transformers
Position in GitHub’s trending lists, facts from the GitHub API and the README, and the star history recorded by this site.
Collected
🤗 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.
First paragraph of the README
State-of-the-art pretrained models for inference and training
Install command found in the README
pip install "transformers[torch]"Where it is trending
| List | Position | Stars gained |
|---|---|---|
| All languages, today | #11 | +94 today |
| python, today | #3 | +94 today |
Star history recorded by this site
One reading per day since Oct 10, 2026, the first day this repository was seen in a trending list. A chart is drawn once three days have been recorded.
- 167,200
Positions, star totals and “stars gained” are the ones GitHub published, read at Oct 10, 2026, 21:39 UTC. The README paragraph and the install command are copied automatically and are not reviewed.
Source: github.com/trending · updated
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Questions and answers
More detail on the method page.
How many stars does huggingface/transformers have?
167,200 stars and 34,797 forks when GitHub’s trending page was read on Oct 10, 2026, 21:39 UTC. GitHub reported 94 new stars for the period of the list it appears in.
What is huggingface/transformers written in, and under which license?
GitHub classifies it as Python. Its license, as reported by the GitHub API, is Apache-2.0.
How do I install huggingface/transformers?
Its README gives this command: pip install "transformers[torch]". It is copied automatically; check the repository before running it.