fairseq
https://github.com/facebookresearch/fairseq
Python
Facebook AI Research Sequence-to-Sequence Toolkit written in Python.
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- Issues
- fix: correct typos 'occured' and 'occurence'
- Fix NumPy 1.24+ compatibility: replace deprecated np.float
- I tried to convert the model to gguf via llama.cpp
- can't install on google colab
- Fine-tuning facebook/mms-tts-{lang_code} model using Fairseq
- Wav2Vec2 pipeline feature extractor normalizes input over batch dimension, is it a feature or bug in design?
- How to save the fine-tune checkpoint
- NLLB-200 & LLama 4: confusion about Nordic languages
- Add an option to disable appending eos to the end of each document while preprocessing
- Add option to disable EOS appending in preprocessing (#5615)
- Docs
- Python not yet supported