code: def _get_model_config_properties_from_hf(
      model_id: str, hf_hub_token: str = None
  ):
      """Placeholder docstring"""
  
      config_url_prefix = f"https://huggingface.co/{model_id}/raw/main/"
      model_config = None
      for config in defaults.VALID_MODEL_CONFIG_FILES:
          config_file_url = config_url_prefix + config
          try:
              if hf_hub_token:
                  config_file_url = urllib.request.Request(
                      config_file_url,
                      None,
                      {"Authorization": "Bearer " + hf_hub_token},
                  )
              with urllib.request.urlopen(config_file_url) as response:
                  model_config = json.load(response)
                  break
          except (
              HTTPError,
              URLError,
              TimeoutError,
              JSONDecodeError,
          ) as e:
              if "HTTP Error 401: Unauthorized" in str(e):
                  raise ValueError(
                      "Trying to access a gated/private HuggingFace model without valid credentials. "
                      "Please provide a HUGGING_FACE_HUB_TOKEN in env_vars"
                  )
              logger.warning(
                  "Exception encountered while trying to read config file %s. "
                  "Details: %s",
                  config_file_url,
                  e,
              )
      if not model_config:
          raise ValueError(
              f"Did not find a config.json or model_index.json file in huggingface hub for "
              f"{model_id}. Please make sure a config.json exists (or model_index.json for Stable "
              f"Diffusion Models) for this model in the huggingface hub"
          )
      return model_config
  
imports: from __future__ import absolute_import
  import json
  import logging
  import os.path
  import urllib.request
  from json import JSONDecodeError
  from urllib.error import HTTPError, URLError
  from enum import Enum
  from typing import Optional, Union, Dict, Any, List
  import sagemaker
  from sagemaker import s3, Predictor, image_uris, fw_utils
  from sagemaker.deserializers import JSONDeserializer, BaseDeserializer
  from sagemaker.djl_inference import defaults
  from sagemaker.model import FrameworkModel
  from sagemaker.s3_utils import s3_path_join
  from sagemaker.serializers import JSONSerializer, BaseSerializer
  from sagemaker.session import Session
  from sagemaker.utils import _tmpdir, _create_or_update_code_dir, format_tags
  from sagemaker.workflow.entities import PipelineVariable
  from sagemaker.estimator import Estimator
  from sagemaker.s3 import S3Uploader
label_desc: Use image node_id 5 for calling a global function with example usage: _get_model_config_properties_from_hf(model_id, hf_hub_token) and returns: model_config