fairseq
https://github.com/facebookresearch/fairseq
Python
Facebook AI Research Sequence-to-Sequence Toolkit written in Python.
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- Issues
- How to save parts of the texts in target lang inside input text?
- How can I avoid duplicating some tokens during translating?
- How to Qauntize Wav2vec model?
- Translation Quality of NLLB-200(Dense, 3.3B) model is worse as compared to all other models for Japanese & English. Can anyone suggest why?
- Conversion of transformer model to ONNX/ Tracing the model
- Transformer's pad token has non-zero embedding
- Fairseq reinstalls pytorch
- Adds mlflow progress bar
- Why the NLLB 6m model does not add moe layers
- Finetuning using 10 mins labeled data from Librispeech
- Docs
- Python not yet supported