nlp-brin-id
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simcse-fakenews-unsup-title-v1

Inference Endpoints

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Iftitahu commited on Mar 15

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 license: mit
 language:
 - id
 ---
 Contrastive embedding trained unsupervisedly on short claim (title) of online public report for fake news detection.
 Model is trained based on contrastive loss and 'Fake news classification' as validation task.
 MLP is used as external classifier for validation task given the resulting embedding from trained model.

 license: mit
 language:
 - id
+datasets:
+- nlp-brin-id/unsup-title
 ---
 Contrastive embedding trained unsupervisedly on short claim (title) of online public report for fake news detection.
 Model is trained based on contrastive loss and 'Fake news classification' as validation task.
 MLP is used as external classifier for validation task given the resulting embedding from trained model.
+Code implementation will be shared publicly soon.