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tags:
- nlp
- intent-classification
- transformers
- distilbert
---
# 📖 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**:
```python
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}]
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