daekeun-ml
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Update README.md
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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-
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tokenizer = AutoTokenizer.from_pretrained("daekeun-ml/KoSimCSE-unsupervised-roberta-
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# Inference example
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sentences = ['์ด๋ฒ ์ฃผ ์ผ์์ผ์ ๋ถ๋น ์ด๋งํธ ์ ์ ๋ฌธ์ ์ฌ๋์?',
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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 = ['์ด๋ฒ ์ฃผ ์ผ์์ผ์ ๋ถ๋น ์ด๋งํธ ์ ์ ๋ฌธ์ ์ฌ๋์?',
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