transformers
https://github.com/huggingface/transformers
Python
🤗 Transformers: State-of-the-art Machine Learning for Pytorch, TensorFlow, and JAX.
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- Issues
- [generate] Opt-in normalized repetition penalty
- [Kernels] Enable rotary_pos_emb hub kernel dispatch for partial RoPE models (GPT-NeoX, Qwen3-Next)
- [Gemma Quant] Fused Triton low-bit kernels (INT2/4/8) for Gemma models & Fused Grouped GEMM for MoE experts
- fix: preserve backslashes in generate flag values
- Fix backslash handling in chat generate flags
- 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
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