fairseq
https://github.com/facebookresearch/fairseq
Python
Facebook AI Research Sequence-to-Sequence Toolkit written in Python.
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- Issues
- Error(s) in loading state_dict for Wav2VecCtc
- RuntimeError: Calculated padded input size per channel: (1). Kernel size: (3). Kernel size can't be greater than actual input size
- ValidationError: Value '1.0' could not be converted to Integer
- Support distributed training on CPU
- Hydra error in fairseq-generate cli (task: translation_multi_simple_epoch)
- how to handle iterative datastes dataloader for large datastes
- inconsistency between sacrebleu scores due to detokenization problem
- Infer TorchScripted Model with normalize_before
- 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
- Docs
- Python not yet supported