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camembert_base_fluency
EIStakovskii/camembert_base_fluency
camembert_base_fluency is a text classification model from EIStakovskii. Use it when you need a label for a piece of text. It is set up for transformers. The card lists the license as other.
This model was trained for evaluating linguistic acceptability and grammaticality. The finetuning was carried out based off the camembert-base model.
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From the Hugging Face model README
This model was trained for evaluating linguistic acceptability and grammaticality. The finetuning was carried out based off the camembert-base model.
To use the model:
from transformers import pipeline
classifier = pipeline("text-classification", model = 'EIStakovskii/camembert_base_fluency')
print(classifier("Il estaaaaaaaaaaad impr2éviswwible, oui,i,v.1 danfaagereux."))
Label_1 means ACCEPTABLE - the sentence is perfectly understandable by native speakers and has no serious grammatic and syntactic flaws.
Label_0 means NOT ACCEPTABLE - the sentence is flawed both orthographically and grammatically.
The model was trained on 50 thousand French sentences from the news_commentary dataset. Out of 50 thousand 25 thousand sentences were algorithmically corrupted using the open source Python library. The library was originally developed by aylliote, but it was slightly adapted for the purposes of this model.
- Task
- Text Classification
- Library
- transformers
- Type
- camembert
- License
- other
- Languages
- fr
- Created
- Oct 29, 2022
- Updated
- Jun 27, 2023