# Multilingual semantic similarity

A SentenceTransformer model based on bge-m3, fine-tuned for Korean financial texts, supporting multilingual processing and optimizing semantic similarity tasks in the financial domain.

A Korean sentence embedding model fine-tuned based on multilingual-e5-large, supporting 1024-dimensional vector space mapping, suitable for tasks such as semantic similarity calculation

A Korean sentence embedding model fine-tuned from intfloat/multilingual-e5-small, supporting 384-dimensional vector representation, suitable for tasks like semantic similarity calculation

A lightweight model based on sentence-transformers, used to map sentences and paragraphs to a 384-dimensional vector space, supporting tasks such as clustering and semantic search.