Slop-detector-mini-2 open-source model - Detect AI-generated content in Reddit comments, supports real-time checking in browsers

Slop Detector Mini 2

Developed by trentmkelly

A binary text classification model for detecting AI-generated content in Reddit comments, supporting real-time detection in browser extensions.

Text Classification

Transformers

#Reddit comment detection #AI-generated content recognition #Browser-side inference

Downloads 784

Release Time : 5/30/2025

Model Overview

This model focuses on identifying AI-generated comments on the Reddit platform and determines whether the content is AI-generated through binary classification. It is suitable for real-time detection in a browser extension environment.

Model Features

Reddit comment optimization

Optimized specifically for Reddit-style conversational text, resulting in more accurate detection.

Client-side inference

Supports direct operation in the browser through Transformers.js without server-side processing.

Real-time detection

Designed for browser extension environments, capable of real-time AI content detection of comments browsed by users.

High-performance metrics

Performs excellently on test data, with an F1 score of 0.991 and an accuracy rate of over 99%.

Model Capabilities

AI-generated content detection

Reddit comment analysis

Real-time text classification

Use Cases

Content moderation

Reddit comment authenticity detection

Helps users identify comment content on the Reddit platform that may be AI-generated

Automatically marks suspicious comments when the confidence level exceeds 50%

Browser extension

Real-time AI content reminder

As a browser plugin, it detects and marks AI-generated content in real-time when users browse Reddit

Enhances users' awareness of the authenticity of platform content

🚀 slop-detector-mini-2 Model Card

A binary text classification model designed to detect AI-generated content in Reddit comments. It's optimized for client-side inference in browser extensions using Transformers.js.

🚀 Quick Start

This model is used in browser extensions to detect AI-generated Reddit comments in real-time. Comments with a confidence score of over 50% are flagged for users.

✨ Features

Binary Text Classification: Specifically designed to detect AI-generated content in Reddit comments.
Optimized for Client-side Inference: Works well in browser extensions via Transformers.js.
AutoTrain Framework: Trained using the AutoTrain framework.

📦 Installation

No specific installation steps were provided in the original document, so this section is skipped.

💻 Usage Examples

No code examples were provided in the original document, so this section is skipped.

📚 Documentation

Overview

This is a binary text classification model for detecting AI-generated content in Reddit comments. It's optimized for client - side inference via Transformers.js in browser extensions.

Repository: reddit-llm-comment-detector

Model Details

Property	Details
Problem Type	Binary Text Classification
Training	AutoTrain framework
Domain	Reddit-style conversational text
Deployment	Browser-based inference (ONNX/Transformers.js)

Performance Metrics

Metric	Value
Loss	0.04163680970668793
F1 Score	0.9911573288058857
Precision	0.985579628587507
Recall	0.9967985202048947
AUC	0.9997115393414552
Accuracy	0.991107000569152

Limitations

Text Style Dependency: Optimized for Reddit-style text; performance may vary on formal content.
Language Focus: Primarily focused on the English language.
Accuracy: No detection system is 100% accurate.

🔧 Technical Details

No technical implementation details were provided in the original document, so this section is skipped.

📄 License

No license information was provided in the original document, so this section is skipped.

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