Transformers
🤗 Transformers: the model-definition framework for state-of-the-art machine learning models in text, vision, audio, and multimodal models, for both inference an
Our verdict
A well-maintained, widely adopted project. This assessment is derived from GitHub's own repository metrics on 2026-08-24, not from hands-on testing.
🤗 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. The project is written primarily in Python, released under Apache-2.0, and has 164,402 stars and 34,342 forks on GitHub. 4,081 contributors have committed to it, and the most recent push was 2026-08-24. The latest tagged release is v5.15.1 (2026-08-19). Figures come from the GitHub API on 2026-08-24 and are refreshed daily; the score below weighs adoption, maintenance, release discipline, contributor breadth, licence clarity and issue hygiene.
Repository
- Licence
- Apache-2.0
- Language
- Python
- Last push
- 2026-08-24
Releases
-
v5.15.1Patch release: v5.15.1 -
v5.15.0Release: v5.15.0 -
v5.14.1Patch release: v5.14.1 -
v5.14.0Release v5.14.0 -
v5.13.1Patch release v5.13.1 -
v5.13.0Release v5.13.0
Pros and cons
Pros
Cons
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| Tool | Our score | From | Free tier | Best for | |
|---|---|---|---|---|---|
| Transformers this page | 9.4 | — | Yes | ||
| ElevenLabs | 10.0 | $6 | Yes | Creators publishing in several languages, developers who need… | Visit |
| Ultralytics | 9.1 | — | Yes | ||
| MoneyPrinterTurbo | 9 | — | Yes | ||
| vLLM | 8.9 | — | Yes | ||
| LlamaFactory | 8.6 | — | Yes | ||
| Unsloth | 8.6 | — | Yes |
