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 Microsoft CLAP model
- xpu device is not used running pipeline(device_map="auto")
- A bug that may cause device inconsistency
- RuntimeError: Expected a 'mps:0' generator device but found 'cpu'
- Set position_embeddings in BertEmbeddings for absolute position type only, to avoid unused parameters
- Added french version of preprocessing data and corrected English version
- 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
- Docs
- Python not yet supported