 Model description
 
 DistilBERT is a transformers model, smaller and faster than BERT, which was pretrained on the same corpus in a
 self-supervised fashion, using the BERT base model as a teacher. This means it was pretrained on the raw texts only,
 with no humans labelling them in any way (which is why it can use lots of publicly available data) with an automatic
 process to generate inputs and labels from those texts using the BERT base model. 
 
 This is a Fake News classification model finetuned [pretrained DistilBERT model](https://huggingface.co/distilbert-base-cased) on 
 [Fake and real news dataset](https://www.kaggle.com/datasets/clmentbisaillon/fake-and-real-news-dataset)
 
 