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Spam Deberta V4

Developed by RUSpam
A Russian spam detection model based on the Deberta architecture, capable of classifying text as spam or non-spam.
Downloads 8,274
Release Time : 7/31/2024

Model Overview

This model is specifically designed for Russian text spam detection, fine-tuned to accurately identify spam content in Russian.

Model Features

Russian Language Specialization
Optimized specifically for Russian text, accurately identifying spam in Russian.
Based on Deberta Architecture
Utilizes the advanced Deberta architecture with strong text comprehension capabilities.
Efficient Classification
Quickly and accurately classifies text as spam or non-spam.

Model Capabilities

Russian Text Classification
Spam Detection

Use Cases

Content Filtering
Email Filtering
Used in email systems to automatically identify and filter Russian spam emails.
Improves email system cleanliness and user experience
Social Media Content Moderation
Detects spam messages on Russian social media platforms.
Reduces spam content on platforms
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