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Update README.md

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@@ -59,10 +59,11 @@ classifier = pipeline("text-classification", model="atahanuz/bert-offensive-clas
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  text = "Bu harika bir filmdi, çok beğendim."
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  result = classifier(text)[0]
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- # Convert LABEL_1 -> Offensive, LABEL_0 -> Not Offensive
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  label = "Offensive" if result['label'] == "LABEL_1" else "Not Offensive"
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  print(f"Prediction: {label} (Score: {result['score']:.4f})")
 
 
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  ```
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  ### Method 2: Manual PyTorch Implementation
 
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  text = "Bu harika bir filmdi, çok beğendim."
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  result = classifier(text)[0]
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  label = "Offensive" if result['label'] == "LABEL_1" else "Not Offensive"
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  print(f"Prediction: {label} (Score: {result['score']:.4f})")
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+
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+ #Prediction: Not Offensive (Score: 1.0000)
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  ```
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  ### Method 2: Manual PyTorch Implementation