transformers
https://github.com/huggingface/transformers
Python
🤗 Transformers: State-of-the-art Machine Learning for Pytorch, TensorFlow, and JAX.
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- Issues
- device_map loading OOMs on conversion-op transients: WeightConverter contiguous() runs on destination GPU, unbudgeted by max_memory packing
- Silent conversion skip on model_type mismatch: loading a converted checkpoint via the wrong Auto class yields randomly-initialized weights that generate fluently
- Add GGUF loading support for Phi-2 (#33260)
- CompressedTensorsConfig(run_compressed=False) silently random-initializes unmapped fused-MoE expert weights on 5.10.x (works on 5.13.1) — request hard error for unmapped packed tensors
- Add LoMa keypoint matching model
- Question about overriding bnb_4bit_compute_dtype for pre-quantized checkpoints
- Add chat input sanitization
- [New model] PersonaPlex (full-duplex speech model, based on Moshi)
- fix(trainer): fix resume_from_checkpoint logic bug (issue #47375)
- [Inkling] Fix float64 MPS crash in InklingProcessor dMel bin extraction
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