Comments (3)
shamilcm
commented on August 19, 2024
Our fairseq0.5 branch (https://github.com/nusnlp/mlconvgec2018/tree/fairseq0.5) has been tested with Fairseq 0.5 and Pytorch 0.4.1.
The master branch contains original scripts for the AAAI-18 paper which was using a fork of older Fairseq (https://github.com/shamilcm/fairseq-py) which was tested with PyTorch 0.2.0post3 compiled from source.
It maybe easier to setup and use the fairseq0.5 branch.
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xiaoshengjun
commented on August 19, 2024
Ok，thank you very much， but I see the maste branch software/download.sh , the fairseq is 0.7.2 version?
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shamilcm
commented on August 19, 2024
The download script downloads our fork, see lines: https://github.com/nusnlp/mlconvgec2018/blob/master/software/download.sh#L1-L6
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Related Issues (20)
- Using interactive instead of generate to evaluate HOT 1
- Python error: <stdin> is a directory, cannot continue HOT 2
- the size of training dataset? HOT 2
- How to use language model (94Bcclm.trie)? HOT 2
- TypeError: iter() returned non-iterator of type 'NBestList' HOT 9
- An error about Compile and install PyTorch(0.2.0) HOT 5
- Accuracy of trained model? HOT 12
- Fairseq-py Installation Issue HOT 5
- About training data
- reranker error HOT 6
- pre-trainined embeddings. HOT 1
- ImportError: cannot import name 'libbleu' HOT 4
- 'Levenshtein greater than source size' when training re-ranker HOT 1
- Output directory error while running run.sh in google colab HOT 1
- ImportError: cannot import name 'libbleu' from 'fairseq' HOT 3
- Requesting NUCLE dataset 3.2
- Error loading state_size in FConvModel : size mismatch in encoder-decoder weights
- General question: GEC data preprocessing
- Can this model be used for any language?
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