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README.md
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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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See [Wulff & Mata (2024)](https://osf.io/preprints/psyarxiv/9h7aw) (see [Supplement](https://osf.io/
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## Usage
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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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See [Wulff & Mata (2024)](https://osf.io/preprints/psyarxiv/9h7aw) (see [Supplement](https://osf.io/nmv29/)) for details.
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## Usage
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