Counter-Speech Classifier

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The BERT-based counter-speech classifier is finetuned on the CONAN dataset for classifying whether a response is counter-speech, based on the counter-argument classifier ThinkCERCA/counterargument_hugging

Uses

<!-- Address questions around how the model is intended to be used, including the foreseeable users of the model and those affected by the model. --> The model is intended for classifying LM-generated dialogue responses, evaluating their validity as counter-speech.