transformers
https://github.com/huggingface/transformers
Python
🤗 Transformers: State-of-the-art Machine Learning for Pytorch, TensorFlow, and JAX.
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- Issues
- [NemotronAsrStreaming] processor without modular
- [gemma 3/4] Fix bidirectional attention masking crossing sliding window boundaries
- Qwen3.5 Does not work with variable length inputs using position_ids
- _prefill: cache.get_seq_length() returns device tensor, breaks slice arithmetic for static cache + torch.compile on non-CUDA backends
- Rework some old cache getters/properties
- Use meshgrid for brevity
- [TimesFM 2.5]:`window_size` argument raises `AttributeError`
- 4-bit load_in_4bit + device_map='auto' + explicit max_memory still dispatches modules to CPU on a model that fits -> ValueError
- [RT-DETR] TypeError in RTDetrModel.forward when num_feature_levels > len(backbone outputs)
- ZeRO-3 zero.Init does not partition composite minimax_m3_vl language submodule -> OOM on multi-GPU load
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- Python not yet supported