transformers
https://github.com/huggingface/transformers
Python
š¤ Transformers: State-of-the-art Machine Learning for Pytorch, TensorFlow, and JAX.
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- Issues
- Add after-load fusion for static quantized MLPs
- Finegrained FP8 v4: fused grouepd/batched
- Replace VideoMAE sinusoid encoding helper with PyTorch implementation
- Fix path traversal in sharded-checkpoint loader via the index weight_map
- Update EvalPrediction annotations for batch_eval_metrics
- feat: build CI docker images for linux/arm64 (Graviton)
- fix(integrations): prevent device mismatch in msa_attention
- ZeRO-3 zero.Init does not partition composite minimax_m3_vl language submodule -> OOM on multi-GPU load
- Migrate ALBERT task heads to self.loss_function and add ForMultipleChoiceLoss
- Enhance return type annotation in apply_chat_template in processing_uā¦
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