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Multilingual toxic comment classifier using XLM-RoBERTa achieving ROC-AUC of 0.9922, detecting toxic content across Hindi and English text for scalable cross-lingual content moderation.
XLM-RoBERTa fine-tuned for multilingual toxicity detection across multiple languages. Achieves Mean ROC-AUC of 0.9918 with LIME-based explainability and an interactive Gradio demo.
