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Korean sentence vector embedding
# Korean sentence vector embedding
Kosimcse Roberta
A Korean sentence vector embedding model based on the RoBERTa architecture, optimized for sentence representation through contrastive learning, suitable for tasks such as semantic similarity calculation.
Text Embedding
Transformers
Korean
K
BM-K
10.35k
18
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