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# Vyakyarth: A Multilingual Sentence Embedding Model for Indic Languages
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This is a [sentence-transformers](https://www.SBERT.net) model finetuned from [sentence-transformers/stsb-xlm-r-multilingual](https://huggingface.co/sentence-transformers/stsb-xlm-r-multilingual). It 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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# Vyakyarth: A Multilingual Sentence Embedding Model for Indic Languages
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[](https://huggingface.co/krutrim-ai-labs/vyakyarth) [](https://github.com/ola-krutrim/Vyakyarth) [](https://cloud.olakrutrim.com/console/inference-service?section=models&modelName=Krutrim&artifactName=Vyakyarth&artifactType=model) [](https://ai-labs.olakrutrim.com/models/Vyakyarth-1-Indic-Embedding)
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This is a [sentence-transformers](https://www.SBERT.net) model finetuned from [sentence-transformers/stsb-xlm-r-multilingual](https://huggingface.co/sentence-transformers/stsb-xlm-r-multilingual). It 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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