transformers
https://github.com/huggingface/transformers
Python
🤗 Transformers: State-of-the-art Machine Learning for Pytorch, TensorFlow, and JAX.
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- Issues
- [WIP] Refactor and decouple gguf checkpoint loading logic
- Fixing strided perplexity calculation for fixed-length models
- Change HybridCache.get_seq_length return type to int
- [Trainer] RandomSampler for train dataloader fails with Llama-3.2-1B using max model sequence length
- llama3.1 tokennizer from transformers has Different behavior from origin openai/tiktoken
- Support dynamic batch size
- The maximum value of input_ids must be smaller than the embedding layer's input dimension. (TFBartEncoder)
- Switch to sdpa_kernel api with newer torch version
- Fix `past_key_values` as input when using `Cache`
- Support BatchNorm in Hubert pos_conv_emb as in fairseq
- Docs
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