transformers
https://github.com/huggingface/transformers
Python
🤗 Transformers: State-of-the-art Machine Learning for Pytorch, TensorFlow, and JAX.
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- Issues
- Ignore CLIP position_ids in unexpected key loading report
- [GGUF] Reduce peak RAM usage by casting dequantized tensors early during load
- Add dtype config options for Four Over Six
- Add Gemma4ForSequenceClassification (missing from gemma4 module — Gemma 2/3 have it)
- Qwen3_5MoeVisionConfig missing deepstack_visual_indexes field — silently dropped by @strict
- [Bug] Loading gemma4 on transformers v4 raises misleading AttributeError: 'list' object has no attribute 'keys' instead of a clear version requirement error
- ImportError: cannot import name 'ReasoningEffort' from mistral_common breaks Gemma 4 processor loading in transformers 5.5.x / 5.6.0.dev0
- fix(testing_utils): guard get_device_capability with torch.cuda.is_available()
- n-to-1 kernel fusion via `KernelConfig`
- WIP: Add support for Granite4VisionForConditionalGeneration
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