transformers
https://github.com/huggingface/transformers
Python
🤗 Transformers: State-of-the-art Machine Learning for Pytorch, TensorFlow, and JAX.
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- Issues
- 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
- Unexpected/wrong handling of added special tokens in special_tokens_mask (GPT1, BERT, possibly others)
- Implementing efficient self attention in T5
- overflow_to_sample_mapping missing in in documentation
- BERT and SpanBERT for Coreference Resolution
- examples/rag: test coverage, tiny model
- Adding option to truncation from beginning instead of end, for both longest_first and longest_second
- Tabert
- Docs
- Python not yet supported