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 Ministral3 and Mistral4 ignoring packed sequences under FlashAttention
- Qwen3-ASR: masked mel frames affect valid CNN outputs
- Fix Qwen3-ASR masking before audio convolutions
- Fix first-subword label assignment in LayoutXLM, LayoutLMv2, and MarkupLM tokenizers
- `convert_to_rgb` produces out-of-range values for 4-channel float32 images in `[0, 255]`
- Weight-preserving patch embedding initialization for vision models with non-RGB channels (num_channels != 3)
- Fix destination dtype for unquantized FP8 conversion entries
- Expose literal tester overrides and merged small-config defaults
- Step-3.7: need_fp32_gate is ignored for BF16 router weights
- AutoTokenizer replaces a local ByteLevel checkpoint's pipeline with Metaspace when metadata declares LlamaTokenizerFast
- Docs
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