T5 Spelling Correction (French)
This model corrects spelling and punctuation problems of the input text (in French). It was trained on a synthetic dataset based on a French news corpus (2023) provided by the University of Leipzig using Happy Transformer. The base model used for training is airKlizz/t5-base-multi-fr-wiki-news. The following article was used as reference full article.
Usage
pip install happytransformer
from happytransformer import HappyTextToText, TTSettings
happy_tt = HappyTextToText("T5", "fdemelo/t5-base-spell-correction-fr")
args = TTSettings(num_beams=5, min_length=1)
# Add the prefix "grammaire: " before each input
result = happy_tt.generate_text("grammaire: Le vehicule a tombe encontrebas", args=args)
print(result.text) # corrected sentence
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