
# 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 ).
{"language": ["en"], "license": "afl-3.0", "library_name": "transformers", "metrics": ["accuracy"]}
transformers en license:afl-3.0 endpoints_compatible region:us
TAGS
#transformers #en #license-afl-3.0 #endpoints_compatible #region-us 


# 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.
# 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.
TAGS
#transformers #en #license-afl-3.0 #endpoints_compatible #region-us 
 # 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.
TAGS
#transformers #en #license-afl-3.0 #endpoints_compatible #region-us 
# 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.