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huggingface/transformers
🤗 Transformers: the model-definition framework for state-of-the-art machine learning models in text, vision, audio, and multimodal models, for both inference and training.
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created
29 Oct 2018
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7m ago
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Recent commits
default branch- 49m[Fix] Remove WIP doc for Ml4 (#50124) . Rémi Ouazan
- 1hAdd Mistral Large 4 (#50121) . Rémi Ouazan
- 2hFix NameError in accelerate.py and clarify error for PyTorch < 2.6 (#50089) . megacodes24
- 3hFP8 backward: chunked expert dequant, skip autograd.Function at inference (#50117) . Arthur
- 4hProcessor unnecessary warnings (#49812) . Raushan Turganbay
- 4hFix boolean padding in ClapFeatureExtractor (#23648) (#49960) . Rudransh Shekhar
- 4hFix `_init_weights` gaps in 7 audio models and enable `test_can_init_all_missing_weights` for them (#49386) . Tarek Ziade
- 4hTrain adapters on top of FP8 weights (#50031) . Quentin Gallouédec
- 5hFix image backend equivalence tests for Pillow 13 (#50105) . Tarek Ziade
- 5h[Fix] Count cropping of an uninitialized layer as a no-op (#50104) . Rémi Ouazan