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Update README.md

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@@ -49,3 +49,21 @@ Test kümesi üzerinde elde edilen sonuçlar:
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  accuracy 0.93 638
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  macro avg 0.84 0.88 0.86 638
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  weighted avg 0.93 0.93 0.93 638
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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  accuracy 0.93 638
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  macro avg 0.84 0.88 0.86 638
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  weighted avg 0.93 0.93 0.93 638
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+
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+ ## 🚀 Kullanım Örneği
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+
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+ ```python
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+ from transformers import AutoTokenizer, AutoModelForSequenceClassification
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+ import torch
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+
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+ model = AutoModelForSequenceClassification.from_pretrained("melique/query-classifier")
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+ tokenizer = AutoTokenizer.from_pretrained("melique/query-classifier")
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+
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+ text = "Yaşam"
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+ inputs = tokenizer(text, return_tensors="pt")
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+ outputs = model(**inputs)
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+
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+ pred = torch.argmax(outputs.logits, dim=1).item()
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+ labels = ["keyword", "semantic"]
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+ print(f"Tahmin edilen sınıf: {labels[pred]}")
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+