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  This is a [sentence-transformers](https://www.SBERT.net) model: It maps sentences & paragraphs to a 768 dimensional dense vector space and can be used for tasks like clustering or semantic search.
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- This is a PubMedBert model which has been fine-tuned over the MS-MARCO dataset using sentence-transformers framework. It can be used for the information retrieval task in the medical/health text domain.
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  ## Usage (Sentence-Transformers)
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  This is a [sentence-transformers](https://www.SBERT.net) model: It maps sentences & paragraphs to a 768 dimensional dense vector space and can be used for tasks like clustering or semantic search.
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+ This is the "microsoft/BiomedNLP-PubMedBERT-base-uncased-abstract-fulltext" model which has been fine-tuned over the MS-MARCO dataset using sentence-transformers framework. It can be used for the information retrieval task in the medical/health text domain.
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  ## Usage (Sentence-Transformers)
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