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Distilbert Base Uncased Hate Speech Offensive Train 8 4
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Distilbert Base Uncased Hate Speech Offensive Train 8 4

Developed by SetFit
Hate speech/offensive language detection model fine-tuned based on DistilBERT-base-uncased
Text Classification
Transformers
Open Source License:Apache-2.0#Hate speech detection#Text classification#Lightweight model
Downloads 15
Release Time : 3/2/2022

Model Overview

This model is a text classification model fine-tuned on the DistilBERT-base-uncased architecture, primarily used to detect hate speech and offensive content in text.

Model Features

Lightweight architecture
Based on the DistilBERT architecture, smaller and faster than standard BERT models while maintaining good performance
Task-specific optimization
Specially fine-tuned for hate speech and offensive language detection tasks

Model Capabilities

Text classification
Hate speech detection
Offensive language identification

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 identify inappropriate remarks and maintain a healthy community environment
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