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---
license: afl-3.0
language:
- en
metrics:
- accuracy
library_name: transformers
---
# 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`](https://huggingface.co/bert-base-uncased), and fine-tune on
a [Fake News dataset](https://www.kaggle.com/datasets/sadikaljarif/fake-news-detection-dataset-english ). |