fairseq
https://github.com/facebookresearch/fairseq
Python
Facebook AI Research Sequence-to-Sequence Toolkit written in Python.
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- Issues
- Don't ignore arguments of function `DynamicConv`
- Dictionary.py add_from_file with different order of bos, pad, eos, unk with fairseq:overwrite
- M2M 100 training/fine tuning
- Unexpected result on finetuned model Wav2Vec2 (with TIMIT dataset)
- 'Missing/Unexpected key(s) in state_dict:' while pruning layers from BART large
- Does someone use the wav2vec2 in production?
- max_positions not resolved correctly for validation set?
- Problem in the generation with a transformer model trained with Iterative Product Quantization
- 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
- Docs
- Python not yet supported