fairseq
https://github.com/facebookresearch/fairseq
Python
Facebook AI Research Sequence-to-Sequence Toolkit written in Python.
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- Issues
- omegaconf.errors.ValidationError: Cannot convert 'DictConfig' to string
- AttributeError: module 'sacrebleu.tokenizers' has no attribute 'tokenizer_zh'
- Python 3.11 integration
- KeyError: 'best_loss'
- Floating point exception while training
- bug in command-line tool "fairseq-score" when using the "--sentence-bleu" argument
- What GPU is required to run the 54.5B model?
- After deriving loss, some parameters require_grad are false
- How to generate topK predictions using Levenstein Transformer?
- Invalid version constraint in omegaconf
- Docs
- Python not yet supported