xlm-r-large-arabic-toxic Open-source Classifier - Accurately Identify Arabic Toxicity and Multilingual Hate Speech

Xlm R Large Arabic Toxic

Developed by akhooli

An Arabic toxicity/hate speech classifier fine-tuned on XLM-Roberta-Large, supporting multilingual zero-shot classification

Text Classification

Transformers

Supports Multiple LanguagesOpen Source License:MIT #Arabic Toxicity Detection #Multilingual Mixed Classification #Zero-shot Learning

Downloads 627

Release Time : 3/2/2022

Model Overview

This model is used to detect toxic content (hate speech) in Arabic comments, with zero-shot extension support for other languages and mixed-language scenarios (e.g., Arabic-English hybrid).

Model Features

Multilingual Support

Supports zero-shot classification for English and other languages in addition to Arabic

Mixed Language Processing

Can analyze text content mixing Arabic and English

Efficient Fine-tuning

Targeted fine-tuning based on the powerful XLM-Roberta-Large architecture

Model Capabilities

Text Classification

Hate Speech Detection

Multilingual Processing

Mixed Language Analysis

Use Cases

Content Moderation

Social Media Comment Filtering

Automatically identifies hate speech in Arabic social media comments

Label_0 (non-toxic) or Label_1 (toxic) classification results

Multilingual Applications

Cross-language Toxicity Detection

Detects toxic content in non-Arabic texts (e.g., English)

Zero-shot classification results

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Xlm R Large Arabic Toxic

Model Overview

Model Features

Model Capabilities

Use Cases

🚀 xlm-r-large-arabic-toxic (toxic/hate speech classifier)

✨ Features

🚀 Quick Start

📄 License