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t5-base-spell-correction-fr
fdemelo/t5-base-spell-correction-fr
t5-base-spell-correction-fr is a machine learning model from fdemelo. Use it for the machine learning task on the model card, and read the license before you ship it in a product. It is set up for transformers. The card lists the license as mit.
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
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At a glance
- Library
- transformers
- License
- mit
- Model type
- t5
- Access
- Public
- Created
- May 8, 2024
- Updated
- May 8, 2024
- SHA
- 3aba3114
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Model card
From the Hugging Face model README
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
- Library
- transformers
- Type
- t5
- License
- mit
- Languages
- fr
- Created
- May 8, 2024
- Updated
- May 8, 2024