transformers
https://github.com/huggingface/transformers
Python
🤗 Transformers: State-of-the-art Machine Learning for Pytorch, TensorFlow, and JAX.
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- Issues
- How can I disable legacy processing in llava-next
- Installation Error for transformers Package (🔥 maturin failed)
- T5 static cache
- Tokenizer does not split text according to newly added input tokens
- Support Constant Learning Rate with Cooldown
- [Feature Request] Add beam search text streaming visualization feature
- Calling `to()` is not supported for `4-bit` quantized models with the installed version of bitsandbytes. The current device is `cuda:0`. If you intended to move the model, please install bitsandbytes >= 0.43.2.
- Compatibility Issue with Python 3.13
- Allow static cache to be larger than sequence length / batch size for encoder-decoder models
- `tokenizer` should be replaced to `processing_class` in `Seq2SeqTrainer`?
- Docs
- Python not yet supported