code: def auto_fill_values(cls, values: Dict[str, Any]) -> Dict[str, Any]:
      if not values.get("tokenizer"):
          values["tokenizer"] = values.get("model_name_or_path")
      if not values.get("task"):
          values["task"] = get_default_task(
              values.get("model_name_or_path")
          )
      return values
  
imports: import os
  import string
  from typing import List, Optional, Union, Dict, Any, Literal
  from deepspeed.runtime.config_utils import DeepSpeedConfigModel
  from deepspeed.launcher.runner import DLTS_HOSTFILE, fetch_hostfile
  from deepspeed.inference import RaggedInferenceEngineConfig
  from mii.constants import DeploymentType, TaskType, ModelProvider
  from mii.errors import DeploymentNotFoundError
  from mii.modeling.tokenizers import MIITokenizerWrapper
  from mii.pydantic_v1 import BaseModel, Field, root_validator, validator
  from mii.utils import generate_deployment_name, get_default_task, import_score_file
label_desc: Use image node_id 3 for calling the ModelConfig obj's underlying member method code with example usage: obj.auto_fill_values(cls, values) and returns: values