transformers
https://github.com/huggingface/transformers
Python
🤗 Transformers: State-of-the-art Machine Learning for Pytorch, TensorFlow, and JAX.
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- Issues
- ModernBERT inference fails on CPU: ValueError: Pointer argument (at 0) cannot be accessed from Triton (cpu tensor?)
- Integrate xlstm cleanly.
- Add support for H2O cache eviction with LLaMA
- Support modernBERT for encoder-decoder models
- 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`
- Any plans to add AIMv2 in the model?
- InternVL is ExecuTorch Compatible
- AllAboardBertweetModel
- Docs
- Python not yet supported