Unknown parameter in PrimaryContainer: "ModelDataSource" with older boto version

Describe the bug When using an older version of the boto library, it will throw the following error:

ParamValidationError: Parameter validation failed:
Unknown parameter in PrimaryContainer: "ModelDataSource", must be one of: ContainerHostname, Image, ImageConfig, Mode, ModelDataUrl, Environment, ModelPackageName, InferenceSpecificationName, MultiModelConfig

Full stack trace

``` Traceback (most recent call last): File "/var/task/app.py", line 90, in handler llm_model.deploy( File "/var/lang/lib/python3.8/site-packages/sagemaker/huggingface/model.py", line 315, in deploy return super(HuggingFaceModel, self).deploy( File "/var/lang/lib/python3.8/site-packages/sagemaker/model.py", line 1601, in deploy self._create_sagemaker_model( File "/var/lang/lib/python3.8/site-packages/sagemaker/model.py", line 907, in _create_sagemaker_model self.sagemaker_session.create_model(**create_model_args) File "/var/lang/lib/python3.8/site-packages/sagemaker/session.py", line 3667, in create_model self._intercept_create_request(create_model_request, submit, self.create_model.__name__) File "/var/lang/lib/python3.8/site-packages/sagemaker/session.py", line 6102, in _intercept_create_request return create(request) File "/var/lang/lib/python3.8/site-packages/sagemaker/session.py", line 3655, in submit self.sagemaker_client.create_model(**request) File "/var/runtime/botocore/client.py", line 530, in _api_call return self._make_api_call(operation_name, kwargs) File "/var/runtime/botocore/client.py", line 919, in _make_api_call request_dict = self._convert_to_request_dict( File "/var/runtime/botocore/client.py", line 990, in _convert_to_request_dict request_dict = self._serializer.serialize_to_request( File "/var/runtime/botocore/validate.py", line 381, in serialize_to_request raise ParamValidationError(report=report.generate_report()) botocore.exceptions.ParamValidationError: Parameter validation failed: Unknown parameter in PrimaryContainer: "ModelDataSource", must be one of: ContainerHostname, Image, ImageConfig, Mode, ModelDataUrl, Environment, ModelPackageName, InferenceSpecificationName, MultiModelConfig ```

Sorry, I don't have the boto version handy but will find it and update the ticket. It was very old.

To reproduce

from sagemaker.huggingface.model import HuggingFaceModel

# create Hugging Face Model Class
huggingface_model = HuggingFaceModel(
   model_data={'S3DataSource':{'S3Uri': "s3://tmybuckaet",'S3DataType': 'S3Prefix','CompressionType': 'None'}},
   role=role,                      # iam role with permissions to create an Endpoint
   transformers_version="4.34.1",  # transformers version used
   pytorch_version="1.13.1",       # pytorch version used
   py_version='py310',              # python version used
   model_server_workers=1,         # number of workers for the model server
)

# Let SageMaker know that we've already compiled the model
huggingface_model._is_compiled_model = True

# deploy the endpoint endpoint
predictor = huggingface_model.deploy(
    initial_instance_count=1,      # number of instances
    instance_type="ml.inf2.xlarge", # AWS Inferentia Instance
    volume_size = 100
)

Expected behavior Deploy without errors

Screenshots or logs Stacktrace above

System information

A description of your system. Please provide:

SageMaker Python SDK version: v2.199.0
Framework name (eg. PyTorch) or algorithm (eg. KMeans): n/a
Framework version: n/a
Python version: 3.11
CPU or GPU: n/a
Custom Docker image (Y/N): Y - running within an AWS Lambda function

Additional context

I think sagemaker-python-sdk should require a recent version of boto to avoid this error. The error is very unhelpful since it doesn't give any hint as to the root cause.

aws / sagemaker-python-sdk

Unknown parameter in PrimaryContainer: "ModelDataSource" with older boto version #4321