fairseq
https://github.com/facebookresearch/fairseq
Python
Facebook AI Research Sequence-to-Sequence Toolkit written in Python.
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- Issues
- Pretrain with "sample-break-mode=complete_doc" and got "Assertion `srcIndex < srcSelectDimSize` failed."
- Why am I running nllb-200 on A100 with only 30% GPU utilization? Can you help me solve it
- How can i run your tts locally on cpu, 16gb ram, Windows 11?
- How we can do finetune with out data on MMS?
- 10ms shift VS 320 upsample of hubert
- Add option to skip 'prepare_for_inference' to enable model training
- Add support for Pfeiffer adapters to fairseq models
- Deepspeed merge to master
- support for accessibility-related languages and dialects?
- command issue - fairseq-hydra-train continue pretraining from checkpoint
- Docs
- Python not yet supported