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.

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