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not authorized to perform: sagemaker:CreateModel on resource

I have been given AmazonSagemakerFullAccess by my companie's AWS admin. No one at our company can figure out why I can't get this line to run to launch the model. ***** CODE PRODUCING ERROR ***** lang_id = sagemaker.Model( image_uri=container, model_data=model_location, role=role, sagemaker_session=sess ) lang_id.deploy(initial_instance_count=1, instance_type="ml.t2.medium") ***** ERROR MESSAGE ***** --------------------------------------------------------------------------- ClientError Traceback (most recent call last) <ipython-input-5-4c80ec284a4b> in <module> 2 image_uri=container, model_data=model_location, role=role, sagemaker_session=sess 3 ) ----> 4 lang_id.deploy(initial_instance_count=1, instance_type="ml.t2.medium") 5 6 from sagemaker.deserializers import JSONDeserializer ~/anaconda3/envs/tensorflow2_p36/lib/python3.6/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, async_inference_config, serverless_inference_config, **kwargs) 1132 1133 self._create_sagemaker_model( -> 1134 instance_type, accelerator_type, tags, serverless_inference_config 1135 ) 1136 ~/anaconda3/envs/tensorflow2_p36/lib/python3.6/site-packages/sagemaker/model.py in _create_sagemaker_model(self, instance_type, accelerator_type, tags, serverless_inference_config) 671 tags=tags, 672 ) --> 673 self.sagemaker_session.create_model(**create_model_args) 674 675 def _ensure_base_name_if_needed(self, image_uri, script_uri, model_uri): ~/anaconda3/envs/tensorflow2_p36/lib/python3.6/site-packages/sagemaker/session.py in create_model(self, name, role, container_defs, vpc_config, enable_network_isolation, primary_container, tags) 2715 raise 2716 -> 2717 self._intercept_create_request(create_model_request, submit, self.create_model.__name__) 2718 return name 2719 ~/anaconda3/envs/tensorflow2_p36/lib/python3.6/site-packages/sagemaker/session.py in _intercept_create_request(self, request, create, func_name) 4294 func_name (str): the name of the function needed intercepting 4295 """ -> 4296 return create(request) 4297 4298 ~/anaconda3/envs/tensorflow2_p36/lib/python3.6/site-packages/sagemaker/session.py in submit(request) 2703 LOGGER.debug("CreateModel request: %s", json.dumps(request, indent=4)) 2704 try: -> 2705 self.sagemaker_client.create_model(**request) 2706 except ClientError as e: 2707 error_code = e.response["Error"]["Code"] ~/anaconda3/envs/tensorflow2_p36/lib/python3.6/site-packages/botocore/client.py in _api_call(self, *args, **kwargs) 506 ) 507 # The "self" in this scope is referring to the BaseClient. --> 508 return self._make_api_call(operation_name, kwargs) 509 510 _api_call.__name__ = str(py_operation_name) ~/anaconda3/envs/tensorflow2_p36/lib/python3.6/site-packages/botocore/client.py in _make_api_call(self, operation_name, api_params) 909 error_code = parsed_response.get("Error", {}).get("Code") 910 error_class = self.exceptions.from_code(error_code) --> 911 raise error_class(parsed_response, operation_name) 912 else: 913 return parsed_response ClientError: An error occurred (AccessDeniedException) when calling the CreateModel operation: User: arn:aws:sts::XXXXXXXXXX:assumed-role/sagemakeraccesstoservices/SageMaker is not authorized to perform: sagemaker:CreateModel on resource: arn:aws:sagemaker:us-east-2:XXXXXXXXXX:model/blazingtext-2022-08-09-13-58-21-739 because no identity-based policy allows the sagemaker:CreateModel action
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