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README.md
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---
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## Usage
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from sentence_transformers import SentenceTransformer, models
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embedding_model = models.Transformer("yobi/klue-roberta-base-sts")
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pooling_model = models.Pooling(
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embedding_model.get_word_embedding_dimension(),
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pooling_mode_mean_tokens=True,
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)
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model = SentenceTransformer(modules=[embedding_model, pooling_model])
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model.encode("μλ
νμΈμ.", convert_to_tensor=True)
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---
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## Usage
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```
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from sentence_transformers import SentenceTransformer, models
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embedding_model = models.Transformer("yobi/klue-roberta-base-sts")
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pooling_model = models.Pooling(
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embedding_model.get_word_embedding_dimension(),
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pooling_mode_mean_tokens=True,
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)
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model = SentenceTransformer(modules=[embedding_model, pooling_model])
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model.encode("μλ
νμΈμ.", convert_to_tensor=True)
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```
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