transformers
https://github.com/huggingface/transformers
Python
🤗 Transformers: State-of-the-art Machine Learning for Pytorch, TensorFlow, and JAX.
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- Issues
- Please port for MPS acceleration on MacOS.
- p-less Sampling: A Robust Hyperparameter-Free Approach for LLM Decoding
- torch.compile graph break in `flash_attention_v2` backend
- Add MiniViT: lightweight Vision Transformer for CIFAR-scale image classification
- Add Telugu Sentiment Classification Example using DistilBERT
- Support .to(device) or Device Aware Handling for Segmentation Labels in EOMTImageProcessor #42205
- Raise explicit error when FP8 is requested via from_config
- Document tensor parallelism configuration with Trainer
- Add HumanV: decoder-only causal LM
- When using the Liger Kernel, torch.nn.functional.cross_entropy is called
- Docs
- Python not yet supported