fairseq
https://github.com/facebookresearch/fairseq
Python
Facebook AI Research Sequence-to-Sequence Toolkit written in Python.
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- Issues
- when I train with transformer_align model，Error happened training one of my training set, other datasets are ok。
- The quantized model inference speed is slower than the non-quantized model.
- best_checkpoint_metric as f1
- HELP
- NLLB vocabulary missing common Chinese character/tokens
- Need help with Hindi Dict in wav2vec2
- NLLB inference time model loading fails due to inconsistent vocabulary size
- fp16 bug about grad_norm computation (resulting in min loss scale reached)
- Do any fairseq CLI's support forced decoding?
- Missing West Flemish (Belgian Flemish) language in NLLB
- Docs
- Python not yet supported