sonisatish119/PhysioMindAI-intent-classification-bert

📖 Intent Classification Model

This model is a DistilBERT-based classifier trained to recognize user intents for appointment booking scenarios.
It can classify queries into multiple intent categories such as booking, rescheduling, cancellations, and more.

📌 Model Details

• Model Type: DistilBERT
• Training Data: 4K+ labeled appointment-related queries
• Framework: Transformers (Hugging Face)
• Languages: English
• Dataset Format: JSON

🛠️ How to Use

You can use this model directly with the Transformers library:

from transformers import pipeline

model = "sonisatish119/PhysioMindAI-intent-classification-bert"  # Update with your repo name
classifier = pipeline("text-classification", model=model)

query = "Can I book an appointment for next Monday?"
prediction = classifier(query)
print(prediction)  # Output: [{'label': 'book_appointment', 'score': 0.98}]