transformers
https://github.com/huggingface/transformers
Python
🤗 Transformers: State-of-the-art Machine Learning for Pytorch, TensorFlow, and JAX.
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- Issues
- Avoid device -> host syncs in load_balancing_loss_func
- [serge] Fix 6 integration tests for model `bloom` failing with `output_mismatch` (list output differs (4), other (2))
- Fix TopHLogitsWarper: renormalized prefix entropy and full-distribution budget
- EfficientNet/ALIGN/MobileNet pass a Keras-style BatchNorm momentum to nn.BatchNorm2d, so running stats are the last training batch
- Add InternLM3, IQuestCoder, TeleChat and TeleChat3
- DynamicCache.batch_select_indices leaves Falcon-H1 convolution and recurrent states unchanged
- fix(quantization): preserve dense converters in mixed compressed-tensors checkpoints
- Fix tokenizer.backend being overwritten by backend kwarg
- Fix remaining modalities loss for causallm
- Fix per-image instance mappings when splitting EoMT images
- Docs
- Python not yet supported