If there is not something available is there a way to show the model summary from the dnn_Net object that is returned when I pass in the .XML and .BIN file
net = cv2.dnn.readNet(bin_file, xml_file)
By model summary do you mean you are trying to get a list of layers and operations used in your model?
OpenVINO has a feature preview tool called the Deep Learning Workbench that might allow you to achieve something similar to a model summary. Within the DL workbench there are tools like the Visualize Model tool where you are able to see details about your model, but this is only after running inference.
To get a list of layers supported layers in your model, you can also just run something simple like a Python script to get that information.
I hope this is helpful, please let me know if you have any further questions.