Model Description
The fake news detection model is a deep learning model designed to classify news as either "fake" or "real."
The intended use of the fake news detection model is to provide a tool for identifying fake news articles.
This model uses a pre-trained model of bert-base-uncased, and fine-tune on
a Fake News dataset.