code: def set_model_path(cls, values):
      model_path = values.get("model_path")
      if not model_path:
          if values.get("deployment_type") == DeploymentType.AML:
              model_path = "model"
          else:
              model_path = MII_MODEL_PATH_DEFAULT
      aml_model_dir = os.environ.get("AZUREML_MODEL_DIR", None)
      if aml_model_dir and not model_path.startswith(aml_model_dir):
          assert os.path.isabs(
              aml_model_dir
          ), "AZUREML_MODEL_DIR={aml_model_dir} must be an absolute path."
          assert not os.path.isabs(
              model_path
          ), f"model_path={model_path} must be relative to append w/ AML path."
          model_path = os.path.join(aml_model_dir, model_path)
  
      values["model_path"] = model_path
      return values
  
imports: import torch
  import os
  import string
  from typing import List, Optional, Dict, Any
  import mii.legacy
  from .constants import DeploymentType, TaskType, ModelProvider, MII_MODEL_PATH_DEFAULT
  from .pydantic_v1 import validator, root_validator, Field
  from deepspeed.runtime.config_utils import DeepSpeedConfigModel
  from deepspeed.inference.config import DtypeEnum
  from deepspeed.launcher.runner import DLTS_HOSTFILE, fetch_hostfile
label_desc: Use image node_id 7 for calling the ModelConfig obj's underlying member method code with example usage: obj.set_model_path(cls, values) and returns: values