transformers
https://github.com/huggingface/transformers
Python
🤗 Transformers: State-of-the-art Machine Learning for Pytorch, TensorFlow, and JAX.
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- Issues
- fix loss scaling only when compute_loss_func is used
- `LlamaRotaryEmbedding` `inv_freq` buffer is left uninitialized by `init_empty_weights` + `load_checkpoint_and_dispatch`
- `Trainer.hyperparameter_search` `kwargs` parameter has an inexact definition if using Optuna
- Draft layer skip addition
- How to output token by token use transformers?
- RuntimeError: Failed to import transformers.pipelines because of the following error (look up to see its traceback): dlopen: cannot load any more object with static TLS
- Fix handling of Sequence post-processors in train_new_from_iterator
- Draft compile decoding
- Add support for Janus model from DeepSeek AI
- Add support for HuBERT batch norm instead of weight norm in pos_conv_emb
- Docs
- Python not yet supported