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Update README.md

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@@ -71,8 +71,8 @@ def cal_score(a, b):
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  return torch.mm(a_norm, b_norm.transpose(0, 1)) * 100
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  # Load pre-trained model
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- model = SimCSEModel.from_pretrained("daekeun-ml/KoSimCSE-unsupervised-roberta-large")
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- tokenizer = AutoTokenizer.from_pretrained("daekeun-ml/KoSimCSE-unsupervised-roberta-large")
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  # Inference example
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  sentences = ['์ด๋ฒˆ ์ฃผ ์ผ์š”์ผ์— ๋ถ„๋‹น ์ด๋งˆํŠธ ์ ์€ ๋ฌธ์„ ์—ฌ๋‚˜์š”?',
 
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  return torch.mm(a_norm, b_norm.transpose(0, 1)) * 100
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  # Load pre-trained model
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+ model = SimCSEModel.from_pretrained("daekeun-ml/KoSimCSE-unsupervised-roberta-base")
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+ tokenizer = AutoTokenizer.from_pretrained("daekeun-ml/KoSimCSE-unsupervised-roberta-base")
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  # Inference example
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  sentences = ['์ด๋ฒˆ ์ฃผ ์ผ์š”์ผ์— ๋ถ„๋‹น ์ด๋งˆํŠธ ์ ์€ ๋ฌธ์„ ์—ฌ๋‚˜์š”?',