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
- Uniform kwargs for processors
- Initializes generators in trainer.py with the device specified in selā¦
- Transformer.Trainer fails in creating optimizer for optim adamw_torch_fused when launched with deepspeed.
- AddĀ cosine_with_min_lr_schedule_with_warmup_lr_rateĀ scheduler in Trainer
- Load fsdp+lora checkpoint error
- Add support for XTR
- Generate: XGLM can generate with inputs_embeds
- Fix some FastSpeechConformer2 failing tests
- NotImplementedError: ggml_type 3 not implemented
- Add NSP Labels Handling to DataCollatorForWholeWordMask for Simultaneous WWM and NSP Pre-training
- Docs
- Python not yet supported