Overview
Research summary
Transformers supplies reusable model implementations, preprocessing components and high-level inference pipelines for a broad range of machine-learning tasks. Its model definitions act as a common integration point for training tools, inference engines and the Hugging Face Hub. Developers can load pretrained checkpoints, perform inference and adapt models through the surrounding training ecosystem. The repository also documents command-line serving workflows. The Apache-licensed library is distinct from the model weights it loads, which may impose separate license and access requirements.
Repository summary
- Stars
- 166,899
- Open issues
- Unavailable
- Last push
- 2026-10-02
- Commits, 90 days
- Unavailable
- Repository activity
- Not scored
- Version
- Unavailable
Recorded catalogue figures. View repository data and provenance →
Classification
Pricing & services
Paid services unknown
Whether the provider offers paid products or services has not been established.
Licence scope
Implementation
Recorded implementation details and interfaces for Transformers.
Implementation details
Python library and supporting tools
- Languages
- Python
- Repository type
- source
Recorded interfaces and capabilities
Licence scope
Repository
Repository snapshots, release information and recorded maintenance signals.
Repository snapshot
- Stars
- 166,899
- Open issues
- Unavailable
- Last push
- 2026-10-02
- Commits, 90 days
- Unavailable
- Repository activity
- Not scored
- Archived
- Not recorded
Repository activity is a snapshot, not a quality or popularity ranking. It combines recent-push freshness (50%), 90-day commits (30%) and issue pressure (20%).
Maintenance and provenance
- Catalogue snapshot
- 2026-10-06
- Stars source
- Recorded fallback
- Last push source
- Recorded fallback
Documentation
Recorded references and research provenance for this entry.
Recorded sources 5
- https://huggingface.co/transformers Project page
- https://github.com/huggingface/transformers Linked repository · Research reference
- https://api.github.com/repos/huggingface/transformers Research reference
- https://github.com/huggingface/transformers/blob/main/README.md Research reference
- https://github.com/huggingface/transformers/blob/main/LICENSE Research reference
Research metadata
- Research date
- 2026-10-02
- Catalogue snapshot
- 2026-10-06
Related tools
Editorially linked entries to explore alongside Transformers. This is not a ranking.
