MidhunKanadan/ModernBERT-CritiQ-V2

🔍 ModernBERT-CritiQ: Critical Question Usefulness Classifier

This model classifies critical questions as either Useful or Non-Useful in the context of an argument (intervention). It is fine-tuned on Critical Question Generation datasets using a ModernBERT architecture with extended context.

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💡 How to Use

🛠 Install Dependencies

pip install transformers

🚀 Run with HuggingFace pipeline

from transformers import pipeline

classifier = pipeline("text-classification", model="MidhunKanadan/ModernBERT-CritiQ-V2")

intervention = "Investing in public transport reduces carbon emissions and benefits everyone."
question = "What about the costs of implementing this system?"

text = f"Intervention: {intervention} [SEP] Critical Question: {question}"
result = classifier(text)[0]

print(f"Label: {result['label']}, Confidence: {result['score']:.4f}")

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🧠 Expected Output

Label: Useful, Confidence: 0.9978