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+ # Example
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+ ```python
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+ from sentence_transformers import CrossEncoder
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+
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+ model = CrossEncoder('ddobokki/electra-small-sts-cross-encoder')
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+ model.predict(['๊ทธ๋…€๋Š” ํ–‰๋ณตํ•ด์„œ ์›ƒ์—ˆ๋‹ค.', "๊ทธ๋…€๋Š” ์›ƒ๊ฒจ์„œ ๋ˆˆ๋ฌผ์ด ๋‚ฌ๋‹ค."])
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+ -> 0.8206561
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+ ```
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+ # Dataset
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+ - KorSTS
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+ - Train
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+ - Test
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+ - KLUE STS
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+ - Train
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+ - Test
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+
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+ # Performance
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+ | Dataset | Pearson corr.|Spearman corr.|
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+ |--|--|--|
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+ | KorSTS(test) + KLUE STS(test) | 0.8528 | 0.8504 |
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+
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+ # TODO
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+ Using KLUE 1.1 train, dev data
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+
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+