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  ---
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  pipeline_tag: text-classification
 
 
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  ---
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  # BERT Text Classification Model
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@@ -12,4 +14,6 @@ To use the model, you can call the `classify_text` function with a text input, a
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  ```python
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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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  ---
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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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  ```python
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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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+
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+ Devlin, J., Chang, M. W., Lee, K., & Toutanova, K. (2018). BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding. arXiv preprint arXiv:1810.04805.