fairseq
https://github.com/facebookresearch/fairseq
Python
Facebook AI Research Sequence-to-Sequence Toolkit written in Python.
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- Issues
- `librosa.filters.mel()` requires keyword args
- pip install --editable ./ on M1 Chip
- Is there possibility to download Nllb 600m Translator to PC and use it offline?
- Training Data SIZE of NLLB-200
- Issues computing RoBERTa on TPUv4 POD
- Pretrain Hubert base second iteration
- Error restarting training and inability to enable checkpoint activations after compiling Fairseq model using torch.compile()
- Cannot install fairseq in open-ce environment
- Evaluating a CTC model
- Wav2Vec-U 2.0: could not training with fp16
- Docs
- Python not yet supported