Convert Models to Neural Networks

With versions of Core ML Tools older than 7.0, if you didn’t specify the model type, or your minimum_deployment_target was a version older than iOS15, macOS12, watchOS8, or tvOS15, the model was converted by default to a neural network.

Note

To convert a model to the newer ML program model type, see Convert Models to ML Programs.

To convert to a neural network using Core ML Tools version 7.0 or newer, specify the model type with the convert_to parameter, as shown in the following example:

import coremltools as ct  # Core ML Tools version 7.0
# provide the "convert_to" argument to convert to a neural network
model = ct.convert(source_model, convert_to="neuralnetwork")

Alternatively, you can use the minimum_deployment_target parameter to specify a target such as minimum_deployment_target=target.iOS14 or older, as shown in the following example:

import coremltools as ct  # Core ML Tools version 7.0
# provide the "minimum_deployment_target" argument to convert to a neural network
model = ct.convert(source_model, 
                   minimum_deployment_target=ct.target.iOS14)