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(tokenizers): accept dict Unigram vocabs in slow tokenizer init
- Support loading original InternVL2 checkpoints natively
- [xLSTM] Fix train mode crashes with return_last_states=False and use_cache
- Add GGUF support for Cohere2 (Command R7B / Command A)
- FineGrainedFP8 DeepGEMM path returns silently wrong results on SM100 (UE8M0 scale rounding without requantization)
- Checkpoint conversion silently loads transposed fused-expert weights when the swapped dims are equal (Transpose(check_dims=True), qwen3_vl_moe)
- Add LoMa keypoint detector & matcher
- [xLSTM] Crash in train mode with return_last_states=False: backend returns bare tensor but xLSTMLayer always unpacks (h, state)
- Fix RTDetrHungarianMatcher crash on infinite cost matrix
- Route byte-level llama tokenizers to TokenizersBackend
- Docs
- Python not yet supported