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Update README.md

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@@ -182,7 +182,7 @@ with torch.no_grad():
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  test_representation = torch.mean(training_outputs.hidden_states[-1].squeeze(), dim=0)
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  # Calculate similarity scores
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- similarity_score = cos(training_input, test_input)
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  ```
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  ## 引用 Citation
 
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  test_representation = torch.mean(training_outputs.hidden_states[-1].squeeze(), dim=0)
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  # Calculate similarity scores
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+ similarity_score = cos(training_representation, test_representation)
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  ```
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  ## 引用 Citation