transformers
https://github.com/huggingface/transformers
Python
🤗 Transformers: State-of-the-art Machine Learning for Pytorch, TensorFlow, and JAX.
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- Issues
- MimiModel.encode: last frame differs from kyutai's encoder when the input length is not a multiple of 1920 samples
- [Seq2SeqTrainer] Support optimizer_cls_and_kwargs in Seq2SeqTrainer
- Add support for compiled transformers
- Add support for compiled transformers
- test(fastspeech2_conformer): change set_seed from 42 to 0 in test_training_integration
- Size the paged cache from the rows and states the layers declare
- Run Qwen4-Exp under continuous batching
- Run multi-head latent attention models under continuous batching
- Make the frame-level attention mask of Whisper-style feature extractors independent of batch padding
- [quantization] quantize / dequantize through load operations
- Docs
- Python not yet supported