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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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PLM used: roberta-base adapted to MSMARCO: famube/roberta-base-msmarco
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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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It was trained using a triplet loss function on a 100k sample of the MS MARCO dataset
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PLM used: roberta-base adapted to MSMARCO: famube/roberta-base-msmarco
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## Usage (Sentence-Transformers)
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