Update README.md

README.md

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-license: mit
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+---
+license: mit
+# Electric Vehicle Type Classifier
+
+## Model Description
+A PyTorch neural network that classifies electric vehicles as Battery Electric Vehicle (BEV) or Plug-in Hybrid Electric Vehicle (PHEV) based on vehicle characteristics.
+
+## Model Architecture
+- Input: 9 features (make, model, year, range, price, etc.)
+- Hidden layers: [128, 64, 32] neurons
+- Output: Binary classification (BEV vs PHEV)
+- Accuracy: ~XX% on test set
+
+## Usage
+```python
+import torch
+from model import TabularModel
+
+# 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'])