upskyy/kf-deberta-multitask
금융 도메인에 특화된 한국어 임베딩 모델
This project provides a specialized Korean language model for the finance industry. It takes Korean sentences or documents related to finance and outputs numerical representations (embeddings) that capture their meaning, allowing you to find highly similar texts. Financial analysts, data scientists in banking, or fintech product managers can use this to understand connections between financial news, reports, or customer inquiries.
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Use this if you need to accurately compare and find similar Korean text within the financial domain, such as identifying related market news or grouping similar customer feedback.
Not ideal if your text data is not primarily in the financial domain or if you are working with languages other than Korean.
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22
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Language
Python
License
CC-BY-SA-4.0
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Last pushed
Aug 08, 2024
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