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  ## Model Description
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- This transformer-based model is designed to extrapolate affective norms for French words, including metrics such as valence, arousal, and imageability. It has been finetuned from the French Toxicity Classifier Plus Model ("EIStakovskii/french_toxicity_classifier_plus_v2"), enhanced with additional layers to predict the affective dimensions. This model was first released as a part of the publication: "Extrapolation of affective norms using transformer-based neural networks and its application to experimental stimuli selection." (Plisiecki, Sobieszek; 2023) [ https://doi.org/10.3758/s13428-023-02212-3 ]
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  ## Training Data
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  ## Model Description
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+ This transformer-based model is designed to extrapolate affective norms for French words, including metrics such as valence, and arousal. It has been finetuned from the French Toxicity Classifier Plus Model ("EIStakovskii/french_toxicity_classifier_plus_v2"), enhanced with additional layers to predict the affective dimensions. This model was first released as a part of the publication: "Extrapolation of affective norms using transformer-based neural networks and its application to experimental stimuli selection." (Plisiecki, Sobieszek; 2023) [ https://doi.org/10.3758/s13428-023-02212-3 ]
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  ## Training Data
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