fairseq
https://github.com/facebookresearch/fairseq
Python
Facebook AI Research Sequence-to-Sequence Toolkit written in Python.
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- Issues
- How to solve the problem of continuing pre-training the XLSR-53 2B model
- When I use 8 A40 images to continue pre-training the XLSR-53 2B pre-training model, I always get an error message: Expected is_sm80 to be true, but got false. (could this error message be improved? If so, please report an enhancement request to pytorch) How can I solve this problem?
- Error when installing fairseq
- Skip some tokens
- slk missing
- NLLB is unable to translate into a complete long sentence in Chinese.
- Delete examples/speech_synthesis directory
- ValueError: offset must be non-negative and no greater than buffer length
- non-autoregressive transformer training scripts error
- Is there a C++ version of Fairseq based on libtorch
- Docs
- Python not yet supported