fairseq
https://github.com/facebookresearch/fairseq
Python
Facebook AI Research Sequence-to-Sequence Toolkit written in Python.
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- Issues
- task: invalid choice: 'speech_dlm_task'
- replaced depracated np.float with np.float64
- NLLB-200 1.3B token dimension compatibility
- Is there any plans to support torch.export?
- [MMS-TTS] how to mark the speaker‘s character tones, can't find any documents
- No such file or directory: 'fairseq\\version.txt
- Outdated FLEURS audio dataset link in MMS ASR tutorial notebook
- Commercial Usage of NLLB weights
- Update MMS ASR tutorial with updated FLEURS dataset link
- VidoeCLIP MMPT: pre-trained S3D not available
- Docs
- Python not yet supported