GLuCoSE-base-ja-v2

This model is a general Japanese text embedding model, excelling in retrieval tasks. It can run on CPU and is designed to measure semantic similarity between sentences, as well as to function as a retrieval system for searching passages based on queries. Key features: - Specialized for retrieval tasks, it demonstrates the highest performance among similar size models in MIRACL and other tasks . - Optimized for Japanese text processing - Can run on CPU During inference, the prefix "query: " or "passage: " is required. Please check the Usage section for details.

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