transformers
https://github.com/huggingface/transformers
Python
🤗 Transformers: State-of-the-art Machine Learning for Pytorch, TensorFlow, and JAX.
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- Issues
- [serge] Fix 1 integration test for model `flint` failing with `other`, raising `RuntimeError` (other (1))
- [GraniteSpeech] Fix `logits_scaling` not applied to logits
- Quantizing gpt-oss on load with `Mxfp4Config()` crashes its forward and saves noise
- Quantize on load from the checkpoint tensor, not its cast to the quantized dtype
- Trainer: resume from a checkpoint for models sharded at load time (`DistributedConfig`)
- Exporters: ONNX Runtime fusions at export time (`OnnxConfig(ort_fusions=...)`)
- serve - decision pipeline alignment
- Add the vision extra to transformers[serving]
- Exporters: load optimum-intel OpenVINO exports (legacy format)
- Install kernels via transformers[kernels] in Intel CPU Dockerfile
- Docs
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