acsankar
/

ticket-agent-classifier_SVN1

Model card Files Files and versions Community

YAML Metadata Warning: empty or missing yaml metadata in repo card (https://huggingface.co/docs/hub/model-cards#model-card-metadata)

SVM Ticket Agent Classifier

This model classifies support tickets to either DATA AGENT or USER ACCESS AGENT based on the ticket text.

Model Details

Model Type: Support Vector Machine (SVM)
Feature Extraction: TF-IDF Vectorizer
Training Size: 40 samples
Classes: ['DATA AGENT', 'No decision', 'USER ACCESS AGENT']

Usage

from joblib import load

# Load model components
pipeline = load('pipeline.joblib')
label_encoder = load('label_encoder.joblib')

# Make prediction
text = "I need access to the sales dashboard"
agent_encoded = pipeline.predict([text])[0]
agent = label_encoder.inverse_transform([agent_encoded])[0]

Downloads last month: -; Downloads are not tracked for this model. How to track

Inference Providers NEW

This model is not currently available via any of the supported Inference Providers.

The model cannot be deployed to the HF Inference API: The model has no library tag.