Transformers
Hugging FaceTransformers is a model-definition framework for machine learning across text, vision, audio and multimodal models, covering both inference and training. Maintained by Hugging Face, it provides a unified API to load and run over a million pretrained checkpoints from the Hugging Face Hub, and is the interface most published model weights are consumed through.
Verified 2026-08-13 via GitHub and the LICENSE body.
Openness
5 high confidence- license
- Apache-2.0(OSI)
- source
- public
- core-gated
- ungated
LICENSE file is the standard, unmodified Apache 2.0 text. The repository is public and unarchived, and the README describes the whole library with no paid, enterprise or hosted tier beside it, so source is public and the core ungated. The README's only 'Enterprise' string links to the separate Hugging Face Enterprise Hub subscription rather than a feature withheld from this library.
- https://github.com/huggingface/transformers/blob/main/LICENSE recorded 2026-08-13
LICENSE file is the verbatim Apache License Version 2.0 text
- https://api.github.com/repos/huggingface/transformers recorded 2026-08-13
Repo metadata - license spdx_id Apache-2.0, private false, archived false, default branch main - for huggingface/transformers.
- https://raw.githubusercontent.com/huggingface/transformers/main/README.md recorded 2026-08-13
README describes Transformers as the model-definition framework for inference and training. Its only 'Enterprise' string is a banner link to the separate Hugging Face Enterprise Hub subscription, not a feature withheld from the library.
Adoption
5 high confidence192,709,895 PyPI downloads of `transformers` in the trailing 30 days, which falls in the top band of the software usage scale, over 10M a month, level 5.
- https://pypistats.org/api/packages/transformers/recent recorded 2026-08-13
last_month downloads = 192,709,895 for transformers
Capability
5 high confidenceCentralizes model definitions across training frameworks and inference engines; foundational to the ecosystem.
- https://github.com/huggingface/transformers recorded 2026-08-13
README still describes the model-definition framework for text, vision, audio, video and multimodal models, for inference and training
Verified 2026-08-13