ModernBERT-CritiQ

This model fine-tunes ModernBERT-base to classify critical questions as either:

• ✅ Useful (label = 1)
• ❌ Non-Useful (label = 0)

🧠 Use Case

Evaluating the usefulness of questions in argumentation contexts (e.g., political debates, persuasive writing, education).

🧪 Dataset

Finetuned on: MidhunKanadan/CritiQ_BERT

📦 Example

from transformers import pipeline

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

result = classifier("Are there more effective ways to improve fairness without raising the minimum wage?")
print(result)
# → [{'label': 'Useful', 'score': 0.9982688426971436}]