🤗 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.
Market Signal
Why It Has Market Pull
The de facto standard open source library for state-of-the-art ML models, maintained by a well-resourced company (Hugging Face) with a massive, continuously active contributor base. This is established AI infrastructure, not an emerging candidate.
- 165,921 GitHub stars and 34,577 forks, with commits pushed within the hour of this check
- 2,428 open issues, reflecting an enormous, continuously engaged user base rather than a stagnant project
- Maintained by Hugging Face, a company with a commercial platform built around this library
- Created in October 2018 and under continuous, uninterrupted development for nearly 8 years
- Functions as the model-definition backbone for a large share of published text, vision, audio, and multimodal research
feedbacks
What People Are Saying
"Thank you very much Hugging Face Team"Hugging Face forum thread title
"users dislike the oversimplification of examples, lack of backward compatibility, and duplicate code"community feedback summary
"Breaking change in v4.48.0 and Python 3.9"GitHub issue title
"simply star the repository to say thank you"CONTRIBUTING.md
"Transformers Huge Community feedback: 40k"Hugging Face forum thread title
"I'd like to thank all the contributors to this library... one of the most promising libraries"GitHub issue
