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# dwulff/mpnet-personality
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This is a [sentence-transformers](https://www.SBERT.net) model that maps personality-related items or texts into a 768-dimensional dense vector space and can be used for many tasks in personality psychology.
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The model has been generated by fine-tuning [all-mpnet-base-v2](https://huggingface.co/sentence-transformers/all-mpnet-base-v2) using unsigned empirical correlations of 200k pairs of personality items. The model, therefore, encodes the content of personality-related texts independent of the direction (e.g., negation).
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# dwulff/mpnet-personality
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This is a [sentence-transformers](https://www.SBERT.net) model that maps personality-related items or texts into a 768-dimensional dense vector space and can be used for many tasks in personality psychology, such as clustering personality items and scales, mapping personality scales to personality constructs, and others.
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The model has been generated by fine-tuning [all-mpnet-base-v2](https://huggingface.co/sentence-transformers/all-mpnet-base-v2) using unsigned empirical correlations of 200k pairs of personality items. The model, therefore, encodes the content of personality-related texts independent of the direction (e.g., negation).
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