fairseq
https://github.com/facebookresearch/fairseq
Python
Facebook AI Research Sequence-to-Sequence Toolkit written in Python.
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- Issues
- Igbo language in Nigeria
- Igbo language
- Why is architecture of all the other NLLB models (600M,1.3B and 3B ) other than the NLLB-54B MOE m2mforcondtional Generation?
- 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?
- Docs
- Python not yet supported