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  This is an encoder model finetuned from the FlagOpen/FlagEmbedding family of models.
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- The model is specialized for studying french literary fiction with a training corpus based on 40.000 passages from free from rights french literary novels.
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  It maps paragraphs to a 1024-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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  This is an encoder model finetuned from the FlagOpen/FlagEmbedding family of models.
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+ The model is specialized for studying french literary fiction with a training corpus based on 400.000 passages from free from rights french literary novels.
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  It maps paragraphs to a 1024-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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