fairseq
https://github.com/facebookresearch/fairseq
Python
Facebook AI Research Sequence-to-Sequence Toolkit written in Python.
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- Issues
- Changing S3 paths for wav2vec conformer models
- Test the transformer.wmt16.en-de model of "Scaling Neural Machine Translation" on newstest2016
- How can I use XGLM models to generate completions for a given prompt ?
- How can we finetune the provided XGLM models to our use-case ?
- Why the output text of BART is exactly the same with the input
- How can I expand the set of letters from 26 to 52?
- how to speed up the binary process when training model based on parallel corpus?
- How do I get the embeddings in each layer of a speech-to-text model for a given LibriSpeech input?
- Recipe for speech-to-speech translation
- Run with previous version raise Found at least two devices Error
- Docs
- Python not yet supported