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Yes, it is possible. You can add custom metadata when you use the register method of the Model object in the SageMaker SDK. The Model step from SageMaker Pipelines can then be used together with this register method.
Below is a snippet of code copied from the example provided on this page, where I have added the custom_metadata_properties
parameter with your example input.
register_model_step_args = pipeline_model.register(
content_types=["application/json"],
response_types=["application/json"],
inference_instances=["ml.t2.medium", "ml.m5.xlarge"],
transform_instances=["ml.m5.xlarge"],
model_package_group_name="sipgroup",
customer_metadata_properties={"key1": "value1", "key2": "value2"}
)
step_model_registration = ModelStep(
name="AbaloneRegisterModel",
step_args=register_model_step_args,
)
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