✨ New Version Available We've released a new and improved version of this model! dragonkue/multilingual e5 small ko v2 SentenceTransformer based on intfloat/multilingual e5 small This is a sentence transformers model finetuned from intfloat/multilingual e5 small on datasets that include Korean query passage pairs for improved performance on Korean retrieval tasks. It maps sentences & paragraphs to a 384 dimensional dense vector space and can be used for semantic textual similarity, semantic search, paraphrase mining, text classification, clustering, and more. This model is a lightweight Korean retriever, designed for ease of use and strong performance in practical retrieval tasks. It is ideal for running demos or lightweight applications, offering a good balance between speed and accuracy. For even higher retrieval performance, we recommend combining it with a reranker. Suggested reranker models: dragonkue/bge reranker v2 m3 ko BAAI/bge reranker v2 m3 Model Details Model Description Model Type: Sentence Transformer Base model: intfloat/multilingual e5 small Maximum Sequence Length: 512 tokens Output Dimensionality: 384 dimensions Similarity Function: Cosine Similarity Training Data…
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