Transformers#
Description#
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
Overview#
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 |
2025-03-31 |
Github Stars |
142213 |
Project Home Page |
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Code Repository |
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OpenSSF Scorecard |
Note:
Created date is date that repro is created on Github.com.
Last update is only the last date I run an automatic check.
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.