Upstream/3 unpin all the dependency requirements #174
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…ckage Create Python package & bump to Python 3.8
…t_test_for_tokenToIndexers_and_tokenization Features/add unit test for token to indexers and tokenization
…y gec_model, get_token_action removed and placed in model.
There's a bug in here somewhere though because the output isn't exactly the same. I suspect there's an off by one error happening when the indices for edit operations are generated.
…r_from_gec_model Allennlp Predictor class that mimics gec_model
…tingService/gector into feature/fix-gec-predictor
…-predictor Feature/fix gec predictor
…l words and corrected words to the output.
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As discussed before, our team has been working on updating GECToR dependencies to the latest versions (Inference only). This is the last PR at this moment.
Link to the successful run: here
Note: This PR breaks the training process. We may work on the updating dependencies for the training in the near future. Additionally, we create conda GECToR packages (gector, gector-cpu and gector-roberta) in our public channel.
First PR: Add unit tests and regression test. Additionally, bump Python version.
Second PR: Write a predictor class to mimic the GEC_model.
Third PR: Unpin all the dependency requirements
Please review all the PRs, let us know any suggestions/comments that you may have!