This page lists short code examples and full examples of using coremltools to convert models.
For a quick start
Quickstart Example: Demonstrates how to convert an image classifier model trained using the TensorFlow Keras API to the Core ML format.
ML program with typed execution
Model Intermediate Language (MIL)
Model Intermediate Language: Construct a MIL program using the Python builder.
Classifiers: Produce a classifier model
Composite Operators: Defining a composite operation by decomposing it into MIL operations.
Quantization: Reduce the size of the Core ML model produced by conversion.
Trees and Linear Models
Nearest Neighbor Classifier: Create an updatable empty k-nearest neighbor.
If you have a code example you'd like to submit, see Contributing.