transformers
https://github.com/huggingface/transformers
Python
🤗 Transformers: State-of-the-art Machine Learning for Pytorch, TensorFlow, and JAX.
Triage Issues!
When you volunteer to triage issues, you'll receive an email each day with a link to an open issue that needs help in this project. You'll also receive instructions on how to triage issues.
Triage Docs!
Receive a documented method or class from your favorite GitHub repos in your inbox every day. If you're really pro, receive undocumented methods or classes and supercharge your commit history.
Python not yet supported46 Subscribers
Add a CodeTriage badge to transformers
Help out
- Issues
- if I want to use my image-text data to finetune the SigLIP2， where I can get the train code?
- Add resume checkpoint support to ClearML callback
- Add support for manually setting `head_dim` in Qwen2 MoE
- Non model inits
- Make `argmax` in `post_process_semantic_segmentation` optional
- Adding features like Tokenizer evaluation/benchmarking
- Remove redundancies for Qwen3MoeDecoderLayer
- Bump transformers from 4.48.0 to 4.50.0 in /examples/tensorflow/language-modeling-tpu
- Training Qwen2.5 VL with dynamic image size using more balanced Sampler for each GPU mem usage
- fix graph break for torch.compile in attention mask check
- Docs
- Python not yet supported