transformers
https://github.com/huggingface/transformers
Python
🤗 Transformers: State-of-the-art Machine Learning for Pytorch, TensorFlow, and JAX.
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- Issues
- docs: document flash attention supports_mapping
- docs: fix OOM/hang for Qwen dynamic resolution models by setting min_pixels and max_pixels
- [new model] Add zaya1 vl
- [Image Processor] Speed up image processors by casting to array before BatchFeature
- no empty label when Grounding Dino detects nothing
- [Weight converter] Account for base model prefix in scoped weight conversion
- Fix decoder_attention_mask None handling in generation utils
- GGUF: optional Metal dequant fast path via kernels-community
- GgufLinear: inference-time GGUF matmul on Apple Silicon — llama.cpp parity
- [DeepSeekV4] Compressor does not seem to account for padding tokens when forming compressed KV blocks
- Docs
- Python not yet supported