transformers
https://github.com/huggingface/transformers
Python
🤗 Transformers: State-of-the-art Machine Learning for Pytorch, TensorFlow, and JAX.
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- Issues
- A warning message showing that `MultiScaleDeformableAttention.so` is not found in `/root/.cache/torch_extensions` if `ninja` is installed with `transformers`
- SinkCache (StreamLLM) implemented over Post-RoPE Key cache might result in confused position for inference
- Any plans to add AIMv2 in the model?
- Maybe the way SequenceClassification Model calculates the last non-pad token is not reasonable.
- Unclear what happens when using torchrun, multi-gpu and trainer arguments.
- add RAdamScheduleFree optimizer
- unable to convert llama 3.3 weights to hf.py
- InternVL is ExecuTorch Compatible
- DeBERTa's `DisentangledSelfAttention` hardcodes `float` dtype, which causes `bfloat16` overflow error
- AllAboardBertweetModel
- Docs
- Python not yet supported