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Phishing Email Detection

Developed by dima806
A lightweight phishing email detection model based on DistilBERT for identifying suspicious email content.
Text Classification
Transformers
 EnglishOpen Source License:Apache-2.0#Phishing Email Detection#Lightweight BERT#English Text Classification
Downloads 795
Release Time : 7/12/2023

Model Overview

This model is fine-tuned using the DistilBERT architecture, specifically designed for phishing email detection in text classification tasks, effectively identifying potential fraudulent emails.

Model Features

Lightweight and Efficient
Based on the DistilBERT architecture, it maintains high accuracy while being 40% smaller in size compared to standard BERT models.
Specially Optimized
Fine-tuned specifically for phishing email detection tasks.
Easy to Deploy
Compatible with the Hugging Face Transformers library, allowing quick integration into existing systems.

Model Capabilities

Text Classification
Phishing Email Detection
Fraudulent Content Detection

Use Cases

Email Security
Corporate Email Filtering
Integrated into corporate email systems to automatically filter potential phishing emails.
Reduces the risk of employees clicking on malicious links.
Personal Email Protection
Used in personal email clients to identify suspicious emails.
Helps ordinary users identify potential phishing attacks.
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