Mingyi
/

classify_title_subject

Text Classification

generated_from_keras_callback

Inference Endpoints

Model card Files Files and versions Community

Mingyi commited on Nov 13, 2021

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 Given a title of YouTube video, article, or podcast episode, this model classifies it into 1 of 8 subjects
-1. art
-2. personal development
-3. world
-4. health
-5. science
-6. business
-7. humanities
-8. technology.
 This model is fine-tuned from **distilbert-base-uncased** using ~1k labeled data.

 Given a title of YouTube video, article, or podcast episode, this model classifies it into 1 of 8 subjects
+0. art
+1. personal development
+2. world
+3. health
+4. science
+5. business
+6. humanities
+7. technology.
 This model is fine-tuned from **distilbert-base-uncased** using ~1k labeled data.