fairseq
https://github.com/facebookresearch/fairseq
Python
Facebook AI Research Sequence-to-Sequence Toolkit written in Python.
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- Issues
- fixing reordering bug in BARTHubInterface.generate
- No 'device_id' initialization in '_infer_torch_distributed_launch_init'
- ImportError: cannot import name 'prune_state_dict'
- The training time about max-updates in wav2vec pretraining config
- What‘s the difference between --scoring 'sacrebleu' and --sacrebleu?
- Do you know what configuration is required to run the m2m-100 12B model?The efficiency of translation
- How can I use XLSR-53 with fairseq?
- Adding source and target language parameters into TransformerModel.from_pretrained() function during translation?
- how to pretrain wav2vec2 on my own audio using an existing model as a base?
- How to reduce the size of the dictionary?
- Docs
- Python not yet supported