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Distilroberta Bias
Fine-tuned based on the pre-trained weights of distilroberta-base, used for text bias detection, and can classify text into two categories: neutral or biased.
Downloads 14.02k
Release Time : 3/2/2022
Model Overview
This model is specifically designed to detect biases in text by fine-tuning the classification head of DistilROBERTA, and is suitable for scenarios such as content moderation and media analysis.
Model Features
Efficient text classification
Based on the DistilROBERTA architecture, it improves inference efficiency while maintaining high accuracy.
Bias detection
Specifically identifies and classifies biased content in text.
Fine-tuning of pre-trained models
Leverages the knowledge of large-scale pre-trained language models and adapts to specific tasks through fine-tuning.
Model Capabilities
Text classification
Bias detection
Natural language understanding
Use Cases
Content moderation
Social media content moderation
Automatically identifies biased content in social media posts
Helps platforms quickly discover and handle biased remarks
Media analysis
News report analysis
Analyzes the degree of bias in news reports
Helps readers identify potentially biased reports
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