fairseq
https://github.com/facebookresearch/fairseq
Python
Facebook AI Research Sequence-to-Sequence Toolkit written in Python.
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- Issues
- Pretrain roberta model on english wiki corpus dataset
- Librosa required as an additional requirement for p-GSLM
- Why wav2vec2-ctc beam search decoder use logits as AM score?
- Unable to export FairseqIncrementalDecoder to ONNX
- How to get the loss on the test set?
- HuBERT training
- when are the conformer model weights available?
- .ltr, .wrd and lexicon files for train and infer letters model.
- Add sequence length padding option for wav2vec2 causes TPU "Scalar type not supported" error during audio pretraining.
- Make get_zip_manifest work with UTF-8
- Docs
- Python not yet supported