Toxdect Roberta Large
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Toxdect Roberta Large
Developed by Xuhui
A toxicity detection model trained on tweet data, utilizing the Roberta-large architecture to identify toxic content in text.
Downloads 595.99k
Release Time : 3/2/2022
Model Overview
This model is primarily used to detect toxic language in text, capable of distinguishing between toxic content (LABEL_1) and non-toxic content (LABEL_0).
Model Features
High-precision detection
Based on the Roberta-large architecture, the model demonstrates high precision in toxic language detection tasks.
Bias mitigation design
The model incorporates debiasing techniques during training to reduce misjudgments and biases.
Model Capabilities
Text classification
Toxic language detection
Use Cases
Social media
Tweet content moderation
Used for automatically detecting toxic tweets on social media platforms to assist in content moderation.
Accurately identifies toxic content, reducing the workload of manual moderation.
Online communities
Forum comment filtering
Used to filter toxic comments in online communities, maintaining a healthy environment.
Effectively reduces inappropriate remarks in communities, improving user experience.
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