code: def validate_model_and_task(cls, values):
      task = values.get("task")
      model = values.get("model")
      if not values.get("skip_model_check"):
          mii.utils.check_if_task_and_model_is_valid(task, model)
          if values.get("enable_deepspeed"):
              mii.utils.check_if_task_and_model_is_supported(
                  task, model
              )
      # Skip any future checks
      values["skip_model_check"] = True
      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 8 for calling the ModelConfig obj's underlying member method code with example usage: obj.validate_model_and_task(cls, values) and returns: values