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# High-precision semantic similarity
E5 Base 4k
MIT
e5-base-4k is a model that performs excellently in multiple natural language processing tasks, especially in tasks such as text classification, retrieval, clustering, and semantic text similarity.
Text Embedding
Transformers English
Transformers EnglishE
dwzhu
3,029
11
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
Transformers KoreanK
BM-K
10.35k
18
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