This model generates a revised version of inputted text with the goal of containing fewer grammatical errors. It was trained with Happy Transformer using a dataset called JFLEG. Here's a full article on how to train a similar model.
pip install happytransformer
from happytransformer import HappyTextToText, TTSettings happy_tt = HappyTextToText("T5", "vennify/t5-base-grammar-correction") args = TTSettings(num_beams=5, min_length=1) # Add the prefix "grammar: " before each input result = happy_tt.generate_text("grammar: This sentences has has bads grammar.", args=args) print(result.text) # This sentence has bad grammar.
Select AutoNLP in the “Train” menu to fine-tune this model automatically.
- Downloads last month