Distilbert Base Uncased Hate Speech Offensive Train 16 2
A lightweight model based on DistilBERT for detecting hate speech and offensive content in text
Downloads 18
Release Time : 3/2/2022
Model Overview
This model is a fine-tuned version of DistilBERT-base-uncased, specifically designed to identify hate speech and offensive content in text.
Model Features
Lightweight and Efficient
Based on the DistilBERT architecture, it is smaller and faster than standard BERT models while maintaining good performance.
Hate Speech Detection
Text classification capability specifically optimized for hate speech and offensive content.
Model Capabilities
Text classification
Hate speech recognition
Offensive content detection
Use Cases
Content moderation
Social media content filtering
Automatically identify and flag hate speech and offensive content on social media.
Online community management
Help administrators quickly detect and handle inappropriate comments.
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