ncfad
/

spam_classifier

Model card Files Files and versions

YAML Metadata Warning:empty or missing yaml metadata in repo card

Check out the documentation for more information.

Spam / Not Spam Classifier

A simple machine learning model built using Logistic Regression + TF-IDF to detect spam messages.

How it works

Input: Raw text message
Preprocessing: TF-IDF Vectorizer
Model: Logistic Regression
Output: spam or ham

Files included

model.pkl — trained ML model
vectorizer.pkl — TF-IDF vectorizer
inference.py — simple inference script

Example Usage

from inference import predict
print(predict("You have won $1000!!!"))

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

Inference Providers NEW

This model isn't deployed by any Inference Provider. 🙋 Ask for provider support