Transformers
Hugging FaceTransformers is a model-definition framework for state-of-the-art machine learning across text, vision, audio, and multimodal models, supporting both inference and training. It is maintained by Hugging Face and provides a unified API to load and run over a million pretrained model checkpoints from the Hugging Face Hub. It is a foundational library underpinning much of the modern open source ML and LLM ecosystem.
Verified live 2026-06-22 via primary sources. LICENSE file is the standard, unmodified Apache 2.0 text.
Openness
5 high confidence- license
- Apache-2.0(OSI)
- source
- public
- core-gated
- ungated
LICENSE file is the standard, unmodified Apache 2.0 text.
- https://github.com/huggingface/transformers/blob/main/LICENSE recorded 2026-06-22
Standard Apache License 2.0 full text
Adoption
5 high confidencePyPI last_month downloads of 150,245,308 exceed the 50M+ Level 5 threshold.
- https://pypistats.org/api/packages/transformers/recent recorded 2026-06-22
last_month downloads = 150,245,308
Capability
5 high confidenceCentralizes model definitions across training frameworks and inference engines; foundational to the ecosystem.
- https://github.com/huggingface/transformers recorded 2026-06-22
Describes multimodal model-definition framework, 1M+ checkpoints
Unchanged since 2026-07-30 (last edited, not re-checked)