fairseq
https://github.com/facebookresearch/fairseq
Python
Facebook AI Research Sequence-to-Sequence Toolkit written in Python.
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- Issues
- Add sequence length padding option for wav2vec2 causes TPU "Scalar type not supported" error during audio pretraining.
- Make get_zip_manifest work with UTF-8
- OOM to train translation models with very large multilingual dataset.
- Gradient overflow when running the example of Adaptive Input Representations
- How to train a multi-lingual model with faieseq?
- M2M100 Score : Found different score using same metric and tokenization
- BF16 + FSDP
- Allow multiple parallel wandb runs by using/initializing wandb not globally but locally
- Fix download link for GLUE
- biased beam search implementation
- Docs
- Python not yet supported