# Load previously saved CoreML model of MobileNet v2
mlmodel = coremltools.models.MLModel('mobilenet_v2_1.0_224.mlmodel')

# Get spec from the model
spec = mlmodel.get_spec()
print(spec.description)

# Output
# >> input {
# >>   name: "input__0"
# >>   type {
# >>     imageType {...}
# >>   }
# >> }
# >> output {
# >>   name: "MobilenetV2__Predictions__Reshape_1__0"
# >>   type { ... }
# >> }
# >> output {
# >>   name: "classLabel"
# >>   type { ... }
# >> }
# >> predictedFeatureName: "classLabel"
# >> predictedProbabilitiesName: "MobilenetV2__Predictions__Reshape_1__0"