fairseq
https://github.com/facebookresearch/fairseq
Python
Facebook AI Research Sequence-to-Sequence Toolkit written in Python.
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- Issues
- pretraining Hubert on Music Data
- unkpen does not work
- Wav2Vec2 Pretraining
- The loss value is extremely high when fine-tuning the xm_transformer_unity model. Is there a wrong step?
- Overflow issue with Fairseq Preprocess for large datasets
- Bug in TokenBlockDataset causing potential CUDA OOM due to incorrect size casting
- Prebuilt wheels provided via 3rd party repository
- Pretrain Hubert on english and chinese speech dataset.
- Apex installation instructions update
- Is NCCL really necessary for single-GPU training?
- Docs
- Python not yet supported