### 6. **Inference Script** (`inference.py`)
import torch
import pandas as pd
from model import TabularModel

def load_model_and_predict(data):
    # Load model
    checkpoint = torch.load('ev_classifier_model.pth')
    model = TabularModel(input_size=9, hidden_sizes=[128, 64, 32], output_size=2)
    model.load_state_dict(checkpoint['model_state_dict'])
    model.eval()
    
    # Get preprocessors
    scaler = checkpoint['scaler']
    label_encoders = checkpoint['label_encoders']
    
    # Preprocess and predict
    # ... (preprocessing code)
    
    return predictions

# Example usage
if __name__ == "__main__":
    sample_data = pd.DataFrame({
        'model_year': [2021],
        'make': ['TESLA'],
        'model': ['MODEL 3'],
        # ... other features
    })
    
    prediction = load_model_and_predict(sample_data)
    print(f"Prediction: {prediction}")