aws / aws/amazon-sagemaker-examples

A_generic_sample_notebook_to_perform_inference_on_ML_model_packages_from_AWS_Marketplace.ipynb failed CI

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Jupyter Notebook
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Description

Link to the notebook:
https://github.com/aws/amazon-sagemaker-examples/blob/master/aws_marketplace/using_model_packages/generic_sample_notebook/A_generic_sample_notebook_to_perform_inference_on_ML_model_packages_from_AWS_Marketplace.ipynb

Error:

---------------------------------------------------------------------------
Exception encountered at "In [7]":
---------------------------------------------------------------------------
ParamValidationError Traceback (most recent call last)
in
5
6 #Deploy the model
----> 7 predictor = model.deploy(1, real_time_inference_instance_type, endpoint_name=model_name)

/opt/conda/lib/python3.7/site-packages/sagemaker/model.py in deploy(self, initial_instance_count, instance_type, serializer, deserializer, accelerator_type, endpoint_name, tags, kms_key, wait, data_capture_config, **kwargs)
761 self._base_name = "-".join((self._base_name, compiled_model_suffix))
762
--> 763 self._create_sagemaker_model(instance_type, accelerator_type, tags)
764 production_variant = sagemaker.production_variant(

[...]

Invalid length for parameter PrimaryContainer.ModelPackageName, value: 0, valid min length: 1

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