Comments (2)
No, highlighter is trained on a different style of data, to highlight the errors in the source sentence without correcting it. Have a look at the readme, I have shown sample outputs. So you can't use them interchangeably.
But I would request you to wait and watch this space within a week you should get the highlighter model ready. Hang tight
from gramformer.
Sounds great!
from gramformer.
Related Issues (20)
- OSError: Can't load config for 'prithivida/grammar_error_correcter' HOT 1
- Training dataset HOT 1
- Highlight failed - throwing out of bound error
- Installation runs endlessly in Colab with Transfomers version 4.9.0 HOT 1
- Module not found Error HOT 1
- [Spacy error] Can't find model 'en' HOT 3
- Suggestions to improve the grammar results for short sentences
- Gramformer Highlight function not working
- Word limit HOT 2
- OSError: [E050] Can't find model 'en'. It doesn't seem to be a shortcut link, a Python package or a valid path to a data directory. HOT 3
- Mulitlingual Grammatical Error Correction HOT 1
- Fix Can't find model "en" error by directly loading en_core_web_sm HOT 3
- Gramformer on pypi? HOT 5
- Edit start and end position HOT 1
- Retrain with FLAN-T5-base HOT 3
- No module named 'annotated_text' in streamlit_app.py HOT 1
- Error loading the tokenizer in transformers==4.4.2 HOT 2
- Inference Issue !!! HOT 1
- Commercial use issue HOT 2
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from gramformer.