fairseq
https://github.com/facebookresearch/fairseq
Python
Facebook AI Research Sequence-to-Sequence Toolkit written in Python.
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- Issues
- Typo in EMAConfig
- I would like to ask you about the difference between the code and the paper.
- Wav2vec2 pretraining
- Function sample_negatives is the performance bottleneck of multi-GPU distributed training.
- NLP / GSLM: Did anyone succeed in making K-means clustering model? (S2U)
- Implemented simple perturbations described in "Rethinking Perturbations in Encoder-Decoders for Fast Training"
- Test failures after upgrading to PyTorch 1.13.0
- Request to provide torchscript-ed model
- Hallucination with numbers : NLLB English to Spanish translation
- Data preprocessing and training scripts to reproduce the "Efficient Large Scale Language Modeling with Mixtures of Experts"
- Docs
- Python not yet supported