class_docstr: A class for handling creating and interacting with Amazon SageMaker transform jobs.
docstr: Delete the corresponding SageMaker model for this Transformer.
docstr_tok: ["Delete","the","corresponding","SageMaker","model","for","this","Transformer","."]
code: def delete_model(self):
      """Delete the corresponding SageMaker model for this Transformer."""
      self.sagemaker_session.delete_model(self.model_name)
  
imports: from __future__ import absolute_import
  from typing import Union, Optional, Dict
  import logging
  import copy
  import time
  from botocore import exceptions
  from sagemaker import s3
  from sagemaker.config import TRANSFORM_JOB_ENVIRONMENT_PATH, TRANSFORM_OUTPUT_KMS_KEY_ID_PATH, TRANSFORM_JOB_KMS_KEY_ID_PATH, TRANSFORM_RESOURCES_VOLUME_KMS_KEY_ID_PATH, PIPELINE_ROLE_ARN_PATH
  from sagemaker.job import _Job
  from sagemaker.session import Session, get_execution_role
  from sagemaker.inputs import BatchDataCaptureConfig
  from sagemaker.workflow.entities import PipelineVariable
  from sagemaker.workflow.functions import Join
  from sagemaker.workflow.pipeline_context import runnable_by_pipeline, PipelineSession
  from sagemaker.workflow import is_pipeline_variable
  from sagemaker.workflow.execution_variables import ExecutionVariables
  from sagemaker.utils import base_name_from_image, name_from_base, check_and_get_run_experiment_config, resolve_value_from_config, resolve_class_attribute_from_config, format_tags, Tags
label_desc: Use image node_id 4 for calling the Transformer obj's underlying member method code with example usage: obj.delete_model() without return types