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Update README.md

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@@ -61,7 +61,7 @@ for i in range(len(sentences1)):
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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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  ```
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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('abbasgolestani/ag-nli-DeTS-sentence-similarity-v2')
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  scores = model.predict([('Sentence 1', 'Sentence 2'), ('Sentence 3', 'Sentence 4')])
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  ```
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