AI Review Rating

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

9.4 Our editorial score, no user reviews yet Open source
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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.

RepositoryGitHub API, refreshed daily

164.4kStars
34.3kForks
1.2kWatching
4.1kContributors
2.4kOpen issues
Licence
Apache-2.0
Language
Python
Last push
2026-08-24
View on GitHub

Releases

  1. v5.15.1 Patch release: v5.15.1
  2. v5.15.0 Release: v5.15.0
  3. v5.14.1 Patch release: v5.14.1
  4. v5.14.0 Release v5.14.0
  5. v5.13.1 Patch release v5.13.1
  6. v5.13.0 Release v5.13.0

Pros and cons

Pros

Cons

User reviews

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