fairseq
https://github.com/facebookresearch/fairseq
Python
Facebook AI Research Sequence-to-Sequence Toolkit written in Python.
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- Issues
- Segmentation fault when training speech_to_text model following instruction in examples/speech_to_text
- Unable to combine --clip-norm and --bf16 on TPU
- MMapIndexDataset leaks file handles
- Finetuning fp32 model in fp16 mode can lead to (many) dropped batches even with `--fp16-scale-tolerance=0`
- Wav2Vec2.0 CTC inference with Transformer LM: adaptive input cutoff
- RoBERTa issues on TPU
- Training fails when using the left target padding "--left-pad-target True"
- Add tokens to extend embeddings during fine-tuning
- Segementation fault while decoding with Kenlm
- Error while training with translation_multi_simple_epoch using custom datasets
- Docs
- Python not yet supported