fairseq
https://github.com/facebookresearch/fairseq
Python
Facebook AI Research Sequence-to-Sequence Toolkit written in Python.
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- Issues
- Simultaneous generation failed on SimulEval using MMA models
- Reproduce results from mBART paper on IWSLT15 En-Vi dataset
- Must we add bos and eos before and after respectively the original token_id sequences?
- MBART 50 many to one model not accessible
- RoBERTa Scalar Quantization / Scalar Quant Noise
- ConfigKeyError when loading wav2vec model
- NACRF Implementation
- Topic classification about XLSR-53，did I do something wrong?
- `fairseq_cli/*.py` should report a more specific error for unrecognized CLI arguments
- output is different with and with out --score-reference even if reference translation and generated translation are the same.
- Docs
- Python not yet supported