Aikaksh-Singh-Routela/security-sentiment-model
01
Security Sentiment Analyzer
Fine-tuned BERT model that analyzes sentiment of cybersecurity news headlines.
Model Details
- Base Model:
bert-base-uncased - Task: Text Classification (Sentiment Analysis)
- Labels:
0: Positive 🟢1: Negative 🔴2: Neutral 🔵
Accuracy
87.5% on test set
How to Use
from transformers import pipeline
classifier = pipeline("text-classification", model="Aikaksh-Singh-Routela/security-sentiment-model")
result = classifier("Ransomware attack shuts down hospital systems")
print(result)
