transformers
https://github.com/huggingface/transformers
Python
🤗 Transformers: State-of-the-art Machine Learning for Pytorch, TensorFlow, and JAX.
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- Issues
- from_pretrained's torch_dtype "auto" mode doesn't handle nested models
- ValueError: Unable to create tensor, you should probably activate truncation and/or padding with 'padding=True' 'truncation=True' to have batched tensors with the same length
- force conversion for Llama when `legacy` is set to `False`
- ../aten/src/ATen/native/cuda/Indexing.cu:1289: indexSelectLargeIndex: block: [267,0,0], thread: [25,0,0] Assertion `srcIndex < srcSelectDimSize` failed.
- Add Molmo (7B-D, 7B-O, 70B)
- Jitter Noise added to input being passed to experts in Switch Transformers
- Add DBRX GGUF Support
- Request for Iterative Generation in Pipeline (e.g., LLaMA model)
- Add training support to Meta's EnCodec
- Flash attention 2 support for PaliGemma model
- Docs
- Python not yet supported