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afk-setfit-camembert-main-classifier-v1
DyePop/afk-setfit-camembert-main-classifier-v1
afk-setfit-camembert-main-classifier-v1 is a text classification model from DyePop. Use it when you need a label for a piece of text. It is set up for setfit. The card lists the license as mit.
This is a SetFit model fine-tuned for French news classification as part of the AFK.live project.
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At a glance
- Task
- Text Classification
- Library
- setfit
- License
- mit
- Model type
- camembert
- Access
- Public
- Created
- Dec 19, 2025
- Updated
- Dec 19, 2025
- SHA
- b939e6c8
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Model card
From the Hugging Face model README
afk-setfit-camembert-main-classifier-v1
This is a SetFit model fine-tuned for French news classification as part of the AFK.live project.
Model Details
- Base Model: CamemBERT (camembert-base)
- Task: Multi-class text classification for news articles
- Language: French
- Framework: SetFit
Training Details
- Training Date: 2025-12-19
Categories
The model classifies news articles into the following categories:
- Politique nationale française ou belge
- Politique internationale
- Économie, Fiscalité et Mouvements sociaux
- Technologie
- Société, Média, Education, Histoire, Justice -
- Science et Santé
- Culture, Cuisine, Voyages
- Sport
- Environnement
- Faits divers, nécrologie
- Outlier
- Actualité locale
- Pub
Usage
from setfit import SetFitModel
# Load the model
model = SetFitModel.from_pretrained("DyePop/{model_name}")
# Make predictions
predictions = model.predict([
"Le président a annoncé de nouvelles mesures économiques",
"L'équipe de France remporte la victoire"
])
Limitations
- Trained specifically on French news articles (France, Walloon Belgium)
- Performance may vary on informal or social media text
- Categories are based on traditional news taxonomy
Citation
If you use this model, please cite the AFK.live project.
- Task
- Text Classification
- Library
- setfit
- Type
- camembert
- License
- mit
- Languages
- fr
- Created
- Dec 19, 2025
- Updated
- Dec 19, 2025