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# MizoEmbed-1
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MizoEmbed-1 is the first dense embedding model developed specifically for the Mizo language. This pioneering model provides vector representations of Mizo text, enabling various natural language processing tasks and applications for the underrepresented language.
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The model maps sentences & paragraphs to a 768-dimensional dense vector space and can be used for semantic textual similarity, semantic search, paraphrase mining, text classification, clustering, and more.
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# MizoEmbed-1
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<img src="https://huggingface.co/sarkii/MizoEmbed-1/resolve/main/glitch.png" alt="Zephyr Logo" width="800" style="margin-left:'auto' margin-right:'auto' display:'block'"/>
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MizoEmbed-1 is the first dense embedding model developed specifically for the Mizo language. This pioneering model provides vector representations of Mizo text, enabling various natural language processing tasks and applications for the underrepresented language.
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The model maps sentences & paragraphs to a 768-dimensional dense vector space and can be used for semantic textual similarity, semantic search, paraphrase mining, text classification, clustering, and more.
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