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Camembert Base Toxic Fr User Prompts
A French text classification model based on the CamemBERT architecture, designed to identify harmful content, sensitive topics, and harmless inquiries
Downloads 794
Release Time : 5/29/2024
Model Overview
This model is specifically designed for content safety detection in French environments, capable of classifying user queries into three categories: harmful content, sensitive topics, and harmless content. It is suitable for chat moderation, content filtering, and similar scenarios.
Model Features
French Content Safety Detection
Specialized content safety classification capability for French text
Three-Level Classification System
Can distinguish between harmful content, sensitive topics, and harmless content
High Accuracy
Achieves an overall accuracy of 94% on the test set
Sensitive Topic Identification
Capable of identifying content that, while not toxic, involves sensitive subjects
Model Capabilities
French Text Classification
Harmful Content Detection
Sensitive Topic Identification
Content Safety Filtering
Use Cases
Content Moderation
Chat Application Content Filtering
Automatically detects harmful content in user chats
Effectively identifies over 93% of harmful content
Community Content Management
Flags sensitive topics for manual review
Sensitive topic recall rate reaches 99%
User Support
Automatic Routing of Sensitive Inquiries
Routes user inquiries involving sensitive topics to specialized support teams
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