abbasgolestani
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Update README.md
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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('abbasgolestani/ag-nli-DeTS-sentence-similarity-
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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-v1')
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scores = model.predict([('Sentence 1', 'Sentence 2'), ('Sentence 3', 'Sentence 4')])
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```
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