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BERT-Text-Classification-Model

Text Classification
Scikit-learn
English
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  pipeline_tag: text-classification
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  metrics:
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  - accuracy
 
 
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  ---
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  # BERT Text Classification Model
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@@ -34,4 +36,4 @@ def classify_text(text):
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  # Example usage
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  text = "This is a positive review."
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  predicted_class = classify_text(text)
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- print("Predicted class:", predicted_class)
 
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  pipeline_tag: text-classification
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  metrics:
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  - accuracy
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+ license: mit
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+ library_name: sklearn
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  ---
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  # BERT Text Classification Model
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  # Example usage
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  text = "This is a positive review."
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  predicted_class = classify_text(text)
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+ print("Predicted class:", predicted_class)