# Model Card for Model ID

<!-- Provide a quick summary of what the model is/does. -->

The Model aims to detect fake news based on the text of a news-article

## Model Details
Model is fine-tunned using kaggle-fake-news dataset


## Bias, Risks, and Limitations

<!-- This section is meant to convey both technical and sociotechnical limitations. -->
The model can be biased sometime,🤝 as it predicts the news article is fake or real based on the text😔 ..it does not cross check the facts. 
[More Information Needed]





{"language": ["en"], "tags": ["legal"], "metrics": ["accuracy"], "pipeline_tag": "text-classification"}
transformers pytorch tensorboard bert text-classification legal en autotrain_compatible endpoints_compatible region:us
TAGS
#transformers #pytorch #tensorboard #bert #text-classification #legal #en #autotrain_compatible #endpoints_compatible #region-us 

# Model Card for Model ID



The Model aims to detect fake news based on the text of a news-article

## Model Details
Model is fine-tunned using kaggle-fake-news dataset


## Bias, Risks, and Limitations


The model can be biased sometime, as it predicts the news article is fake or real based on the text ..it does not cross check the facts. 






# Model Card for Model ID



The Model aims to detect fake news based on the text of a news-article ## Model Details
Model is fine-tunned using kaggle-fake-news dataset ## Bias, Risks, and Limitations


The model can be biased sometime, as it predicts the news article is fake or real based on the text ..it does not cross check the facts.
TAGS
#transformers #pytorch #tensorboard #bert #text-classification #legal #en #autotrain_compatible #endpoints_compatible #region-us 
 # Model Card for Model ID



The Model aims to detect fake news based on the text of a news-article ## Model Details
Model is fine-tunned using kaggle-fake-news dataset ## Bias, Risks, and Limitations


The model can be biased sometime, as it predicts the news article is fake or real based on the text ..it does not cross check the facts.
TAGS
#transformers #pytorch #tensorboard #bert #text-classification #legal #en #autotrain_compatible #endpoints_compatible #region-us 
# Model Card for Model ID



The Model aims to detect fake news based on the text of a news-article## Model Details
Model is fine-tunned using kaggle-fake-news dataset## Bias, Risks, and Limitations


The model can be biased sometime, as it predicts the news article is fake or real based on the text ..it does not cross check the facts.