fairseq
https://github.com/facebookresearch/fairseq
Python
Facebook AI Research Sequence-to-Sequence Toolkit written in Python.
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- Issues
- Issue about doing MMS ASR inference with multiple GPUs
- About gradient accumulation
- How to train a multilingual model on parallel Hindi to English corpus in both directions and also non-parallel data in English and Hindi? For the non-parallel corpora, I need to train the model to copy the source to the target by masking x% tokens in the source. Is it possible to do all these tasks in single training?
- raise InvalidRequirement(str(e)) from e pkg_resources.extern.packaging.requirements.InvalidRequirement: Expected closing RIGHT_PARENTHESIS PyYAML (>=5.1.*) ~~~~~~^
- Update dump_mfcc_feature.py
- data2vec2.0 finetune maxtokens can only set to 320000 in A100, is there any problem?
- Finetune without resetting learning rate
- Expand MMS: Request for Lezgi Language Support in ASR and TTS
- MMS inference example output garbage
- Module Not found error: No module named 'examples'
- Docs
- Python not yet supported