AIbase
EN
Home
Distilbert Base Uncased Hate Speech Offensive Train 16 4
D

Distilbert Base Uncased Hate Speech Offensive Train 16 4

Developed by SetFit
A lightweight model based on DistilBERT for detecting hate speech and offensive content in text
Text Classification
Transformers
Open Source License:Apache-2.0#Hate speech detection#Text classification#Lightweight BERT
Downloads 17
Release Time : 3/2/2022

Model Overview

This model is a fine-tuned version of the DistilBERT base model, specifically designed to identify hate speech and offensive language in text. While its accuracy performance is moderate, it features lightweight and efficient characteristics.

Model Features

Lightweight and Efficient
Based on DistilBERT architecture, 40% smaller than standard BERT while retaining 95% of its performance
Fast Inference
Distilled architecture enables faster model inference, suitable for real-time applications
Content Moderation
Specially optimized for hate speech and offensive content detection

Model Capabilities

Text classification
Hate speech detection
Offensive language identification
Content safety analysis

Use Cases

Content moderation
Social media content filtering
Automatically detect hate speech and offensive content in user posts
Accuracy 48.05%
Online community management
Identify and flag potentially violating content requiring manual review
Featured Recommended AI Models
AIbase
Empowering the Future, Your AI Solution Knowledge Base
EnglishįŽ€äŊ“中文įšéĢ”中文ãĢãģんご
Š 2025AIbase