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@@ -32,7 +32,38 @@ It achieves the following results on the evaluation set:
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  - F1: 0.7740
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  - Precision: 0.7804
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  - Recall: 0.7731
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-
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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  ## Model description
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  More information needed
 
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  - F1: 0.7740
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  - Precision: 0.7804
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  - Recall: 0.7731
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+
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+ ## Usage
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+
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+ ```python
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+ # Use a pipeline as a high-level helper
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+ from transformers import pipeline
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+
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+ pipe = pipeline("zero-shot-classification", model="kaixkhazaki/turkish-zeroshot")
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+
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+ #Enter your text and possible candidates of classification
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+ sequence = "Bu laptopun pil ömrü ne kadar dayanıyor?"
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+ candidate_labels = ["ürün özellikleri", "soru", "bilgi talebi", "laptop", "teknik destek"]
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+
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+ pipe(
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+ sequence,
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+ candidate_labels,
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+ )
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+
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+ >>
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+ {'sequence': 'Bu laptopun pil ömrü ne kadar dayanıyor?',
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+ 'labels': ['ürün özellikleri',
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+ 'soru',
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+ 'bilgi talebi',
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+ 'laptop',
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+ 'teknik destek'],
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+ 'scores': [0.296932578086853,
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+ 0.2693993151187897,
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+ 0.20735479891300201,
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+ 0.12200483679771423,
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+ 0.10430848598480225]}
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+
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+ ```
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  ## Model description
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  More information needed