Update README.md

README.md

@@ -127,6 +127,18 @@ output = session.run(None, {input_name: X})
 print("Fraud probability:", output[0])
 ```
 
+# Example Inference Code:
+```java
+import onnxruntime as ort
+import numpy as np
+
+session = ort.InferenceSession("meta_model.onnx")
+input_data = np.array([[...]], dtype=np.float32)  # shape (1, 29)
+inputs = {session.get_inputs()[0].name: input_data}
+outputs = session.run(None, inputs)
+print("Fraud Probability:", outputs[0])
+```
+
 🧪 Training Pipeline
 
 All models were trained using the following: