transformers
https://github.com/huggingface/transformers
Python
🤗 Transformers: State-of-the-art Machine Learning for Pytorch, TensorFlow, and JAX.
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- Issues
- FineTuning AutoModelForSequenceClassification.from_pretrained(meta-llama/Llama-3.2-1B) Bug:RuntimeError: Expected all tensors to be on the same device, but found at least two devices, cuda:1 and cuda:0! (when checking argument for argument target in method wrapper_CUDA_nll_loss_forward) and awq importing
- [`Mamba2`] Varlen implementation
- 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.
- More model refactoring!
- Unclear what happens when using torchrun, multi-gpu and trainer arguments.
- add RAdamScheduleFree optimizer
- unable to convert llama 3.3 weights to hf.py
- Docs
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