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French Xlm Xnli

Developed by morit
Based on the XLM-Roberta-base model, continuously pretrained on a multilingual Twitter corpus and fine-tuned on the French XNLI dataset for zero-shot text classification
Downloads 686
Release Time : 12/21/2022

Model Overview

This model is specifically designed for zero-shot classification of French text, particularly suitable for hate speech detection, while also supporting text classification in 100 other languages

Model Features

Multilingual support
Based on XLM-Roberta model, supporting text classification in 100 languages
French optimization
Specifically fine-tuned on the French XNLI dataset for better French text classification performance
Zero-shot learning
Capable of performing classification tasks without domain-specific training data

Model Capabilities

French text classification
Multilingual text classification
Hate speech detection
Zero-shot learning

Use Cases

Content moderation
Hate speech detection
Identifying hate speech content on social media
Text classification
Politics vs sports classification
Distinguishing whether text content belongs to politics or sports category
81.96% accuracy for political category
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