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Distilbert Base Uncased Hate Speech Offensive Train 8 3

Developed by SetFit
This model is a fine-tuned version of distilbert-base-uncased, designed for classifying hate speech and offensive content.
Downloads 17
Release Time : 3/2/2022

Model Overview

This model is a fine-tuned version of distilbert-base-uncased, primarily used to identify and classify hate speech and offensive content.

Model Features

Lightweight model
Based on the DistilBERT architecture, it is more lightweight than the original BERT model, making it suitable for resource-constrained environments.
Hate speech detection
Specifically optimized for hate speech and offensive content, effectively identifying such texts.

Model Capabilities

Text classification
Hate speech detection
Offensive content identification

Use Cases

Content moderation
Social media content filtering
Used to automatically detect and filter hate speech and offensive content on social media.
Accuracy: 0.549
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