fairseq
https://github.com/facebookresearch/fairseq
Python
Facebook AI Research Sequence-to-Sequence Toolkit written in Python.
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- Issues
- Wav2vec 2.0 doing inference on newly trained transformer lm model gives missing key error
- --shorten-method truncate does not work for BART in sentence_prediction task
- Segmentation fault (core dumped) error when fine tuning wav2vec 2.0.
- [Linformer] Pre-Trained Weights
- Lots of defunct python processes from running fairseq many times with no reboot
- unrecognized arguments: --max-positions 512
- M2M: CUDA error: an illegal memory access was encountered
- 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
- Docs
- Python not yet supported