transformers
https://github.com/huggingface/transformers
Python
🤗 Transformers: State-of-the-art Machine Learning for Pytorch, TensorFlow, and JAX.
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- Issues
- Summarization length not controlled by max_length, min_length
- Enable multiple `eval_dataset` in `Trainer` API
- use `BaseModelOutput` as common interface for all different `BaseModelOutputWith*`?
- ReduceLROnPlateau-like functionality?
- Add GPT Neo models to Write With Transformer
- Returning Confidence Score For Extractive QA Task When Using Non-Pipeline Approach
- Please implement DUMA: Reading Comprehension with Transposition Thinking
- Add DALL-E: Zero-Shot Text-to-Image Generation
- [trainer] figuring out why eval with `--fp16_full_eval` is 25% slower
- EncoderDecoderModel with different model dimensions
- Docs
- Python not yet supported