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Mingyi
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classify_title_subject

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