A roberta-base classifier that classifies if a prompt is relevant to questions from the WMDP dataset. The classifier is trained using 10% (300+ questions) of the WMDP datset.

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Safetensors

Model size

125M params

Tensor type

F32

Inference API

Text Classification

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