transformers
https://github.com/huggingface/transformers
Python
🤗 Transformers: State-of-the-art Machine Learning for Pytorch, TensorFlow, and JAX.
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- Issues
- Any config for DeBERTa series as decoders for TSDAE?
- Do we need a config to change `padding_side='left` before the evaluation?
- Mismatch with epoch when using gradient_accumulation
- Skipping cudagraphs for unknown reason
- Data Map Trainer Callback
- Added HHCache class implementing H2O Cache
- New `save_strategy` option called "best" to save when a new best performance is achieved.
- Tokenizer discard data that exceed max_length
- [WIP] Add implementation of `_extract_fbank_features_batch`
- Allow infer_framework_load_model to use the originally specified config.
- Docs
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