Fake News Classification Distilbert 🤗

This model was trained on 32,326 news articles from CLÉMENT BISAILLON's dataset on Kaggle. The goal is to classify fake news from real news.

0 : Fake News, 1 : Real News

Sources

Dataset used: https://www.kaggle.com/datasets/clmentbisaillon/fake-and-real-news-dataset

Base Distilbert: https://huggingface.co./distilbert-base-uncased-finetuned-sst-2-english

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Safetensors

Model size

67M params

Tensor type

F32

Inference Examples

Text Classification

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