transformers
https://github.com/huggingface/transformers
Python
🤗 Transformers: State-of-the-art Machine Learning for Pytorch, TensorFlow, and JAX.
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- Issues
- Fix the bug with loading DeepSpeed MoE models
- Enable changing the loss function by making the hard-coded `loss_fct` an attribute of `BertForTokenClassification`.
- Kolmogorov–Arnold Transformer
- 🌐 [i18n-KO] Translated `llava_next.md` to Korean
- 🌐 [i18n-KO] Translated `quantization/contribute.md` to Korean
- Remove repeated test_model_from_pretrained, test_model, test_config
- Adding MSELoss for regression tasks in HubertForSequenceClassification model
- [Draft] Add counting tokens
- Correctly support resuming from checkpoint with a dataset without length
- Pass input_ids to _update_model_kwargs_for_generation
- Docs
- Python not yet supported