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README.md
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It demonstrates strong performance on retrieval tasks in both languages, achieving robust results across a wide range of Korean- and English-language benchmarks.
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This makes it well-suited for real-world applications that require high-quality semantic search in Korean, English, or both.
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## Model
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### Model Description
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- **Model Type:** Sentence Transformer
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<!-- - **Base model:** [Unknown](https://huggingface.co/unknown) -->
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- **Maximum Sequence Length:** 8192 tokens
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It demonstrates strong performance on retrieval tasks in both languages, achieving robust results across a wide range of Korean- and English-language benchmarks.
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This makes it well-suited for real-world applications that require high-quality semantic search in Korean, English, or both.
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## Model Description
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- **Model Type:** Sentence Transformer
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<!-- - **Base model:** [Unknown](https://huggingface.co/unknown) -->
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- **Maximum Sequence Length:** 8192 tokens
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