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Roberta Toxicity Classifier V1
A cloned version of the RoBERTa-based text toxicity classifier for evaluating text detoxification algorithm effectiveness
Downloads 139
Release Time : 3/2/2022
Model Overview
This model is a cloned version of the original roberta_toxicity_classifier, primarily used for text toxicity classification and evaluating the effectiveness of text detoxification algorithms.
Model Features
Toxic Text Classification
Accurately identifies toxic content in text, suitable for content moderation and detoxification algorithm evaluation.
Based on RoBERTa Architecture
Leverages RoBERTa's powerful text understanding capabilities to provide high-precision classification results.
Detoxification Algorithm Evaluation
Directly applicable for internal evaluation of text detoxification algorithms, referencing relevant paper implementations.
Model Capabilities
Toxic Text Classification
Text Detoxification Algorithm Evaluation
Content Moderation
Use Cases
Content Moderation
Social Media Content Filtering
Used to automatically detect and filter toxic content on social media platforms.
Improves content moderation efficiency and reduces manual review workload.
Algorithm Evaluation
Text Detoxification Algorithm Effectiveness Evaluation
Used to evaluate the effectiveness and performance of different text detoxification algorithms.
Provides quantitative metrics to help optimize detoxification algorithms.
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