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Transformers is a library of pretrained text, computer vision, audio, video, and multimodal models for inference and training. Use Transformers to fine-tune models on your data, build inference applications, and for generative AI use cases across multiple modalities. There are over 500K+ Transformers model checkpoints on the Hugging Face Hub you can use.
Home page for this solution: https://huggingface.co/docs/transformers/index
| Key | Value |
|---|---|
| Name | transformers |
| Description | 🤗 Transformers: State-of-the-art Machine Learning for Pytorch, TensorFlow, and JAX. |
| License | Apache License 2.0 |
| Programming Language | Python |
| Created | 2018-10-29 |
| Last update | 2025-05-02 |
| Github Stars | 143760 |
| Project Home Page | https://huggingface.co/transformers |
| Code Repository | https://github.com/huggingface/transformers |
| OpenSSF Scorecard | Report |
Note:
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Created date is date that repro is created on Github.com.
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Last update: Last update of repository on Github found on {sub-ref}
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Do not attach a wrong value to github stars. Its a vanity metric! Stars count are misleading and don't indicate if the SBB is high-quality or very popular.
% This file is GENERATED. Check the tools on https://nocomplexity.com/ or my github.com/nocomplexity to use it too! Its FOSS.