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: respect partial_rotary_factor in GPTNeoXJapaneseRotaryEmbedding
- ASR feature extractors do not actually convert batched multi-channel list inputs to mono
- fix: use sp_model.decode in SentencePieceBackend.convert_tokens_to_string
- Add an FP8 backend to `QuantizedCache`
- [zai-org/GLM-OCR] <|image|> token has special=False in Rust tokenizer backend — should it be True?
- [Docs] MRoPE (Multi-dimensional Rotary Position Embeddings) is undocumented — missing from rope_utils.md and RopeParameters
- [docs] Context parallelism during eval
- Kernels for partial RoPE
- Backslashes in generate flag values are interpreted as JSON escapes in transformers chat
- fix: check GPU architecture before enabling GQA in SDPA on CUDA
- Docs
- Python not yet supported