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README.md
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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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## 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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## Usage
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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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pipe = pipeline("zero-shot-classification", model="kaixkhazaki/turkish-zeroshot")
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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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pipe(
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sequence,
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candidate_labels,
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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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## Model description
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More information needed
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