def METHOD_NAME(self):
    # Log the ONNX model to MLFlow
    import mlflow.onnx
    import onnx
    model = onnx.load(
        "./mlflow-triton-plugin/examples/onnx_float32_int32_int32/1/model.onnx"
    )
    # Use a different name to ensure the plugin operates on correct model
    mlflow.onnx.log_model(model, "triton", registered_model_name="onnx_model")
    self._validate_deployment("onnx_model")