fairseq
https://github.com/facebookresearch/fairseq
Python
Facebook AI Research Sequence-to-Sequence Toolkit written in Python.
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- Issues
- Finetune without resetting learning rate
- Expand MMS: Request for Lezgi Language Support in ASR and TTS
- MMS inference example output garbage
- Module Not found error: No module named 'examples'
- facebook/mbart-large-50 VS facebook/mbart-large-50-many-to-many-mmt
- When fine-tuning the MMS model, I encountered NaN loss. How can I solve this issue?
- Make asr_bleu pipeline compatible with 3 lang code
- Default Loss Implementation
- [data2vec] Loss and variance look good but local encoder collapsed
- spelling mistake
- Docs
- Python not yet supported