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README.md
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## Usage and Performance
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Pre-trained models can be used like this:
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from sentence_transformers import CrossEncoder
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model = CrossEncoder('model_name')
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scores = model.predict([('Sentence 1', 'Sentence 2'), ('Sentence 3', 'Sentence 4')])
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## Usage and Performance
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Pre-trained models can be used like this:
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```python
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from sentence_transformers import CrossEncoder
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model = CrossEncoder('model_name')
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scores = model.predict([('Sentence 1', 'Sentence 2'), ('Sentence 3', 'Sentence 4')])
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