fairseq
https://github.com/facebookresearch/fairseq
Python
Facebook AI Research Sequence-to-Sequence Toolkit written in Python.
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- Issues
- MMS TTS has incorrect letters dictionary for Tatar model, makes it unusable
- fix overwrite bug when adding symbol to dictionary
- Different LID results for uppercase and lowercase texts
- Why the base is pretrained on LibriSpeech960 data and not LibriLight?
- `FairseqAdam` assertion error when parsing `adam_betas` with `FairseqAdamConfig`
- ASR Readability: punctuations
- Potential Memory Leak in Fairseq training?
- Pass context to MMS / NLLB Model
- Windows Installation Failure！
- Makes Fairseq compatible with WandB when running in SageMaker so that experiments can be tracked
- Docs
- Python not yet supported