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 is 🤗 Transformers: the model-definition framework for state-of-the-art machine learning models in text, vision, audio, and multimodal models, for both inference an, built in Python. It has 164,402 stars and 4,081 contributors, and it was pushed to within the last few weeks. The Apache-2.0 licence puts no real constraint on commercial use. The most recent tagged release is v5.15.1, from 2026-08-19. Figures come from the GitHub API on 2026-08-26 and refresh daily.
Reviewed by AI Review Rating from GitHub API data How we score
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
Pricing
- Free tierYes
- LicenceApache-2.0
- Self-hostYes, source is public
- Public price listNot published
Transformers does not publish a web price list. For consumer apps that usually means pricing appears inside the product; for enterprise tools it means talking to sales. Why we do this
Visit huggingface.coTrends
Price points are recorded when a price moves, not on a schedule, so a flat run means the price held. Release cadence comes from GitHub releases. A series appears only once we have watched it for long enough to have more than one observation.
Changelog
On video
What users actually say
- [R] Tips on training Transformers Reddit · 2023
We link to discussions rather than reproducing them. Opinions belong to their authors.
User reviews
No one has reviewed Transformers here yet. Reviews are moderated before they appear, and our own score is editorial and separate from user ratings, though once reviews land they do lift it.
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Side by side
Questions
Is Transformers free?
Yes. Transformers advertises a free tier on its own site.
How much does Transformers cost?
Transformers does not publish pricing openly, which usually means it is quote-based. You will need to contact the vendor.
Is Transformers open source?
Yes. Transformers is a public repository released under Apache-2.0. You can self-host or inspect the source directly.
How is Transformers scored here?
Transformers scores 7.9 out of 10. That comes from a desk review of public evidence, which is capped at 8.5 out of 10: public pricing, documentation, maintenance signals and how much we could actually verify. Affiliate relationships are excluded from scoring entirely. The full rubric is published on our methodology page.