code: def test_create_model_valid_hf_hub_model_id(
      mock_urlopen,
      sagemaker_session,
  ):
      model_config = {
          "model_type": "opt",
          "num_attention_heads": 4,
      }
  
      cm = MagicMock()
      cm.getcode.return_value = 200
      cm.read.return_value = json.dumps(model_config).encode("utf-8")
      cm.__enter__.return_value = cm
      mock_urlopen.return_value = cm
      model = DJLModel(
          HF_MODEL_ID,
          ROLE,
          sagemaker_session=sagemaker_session,
          number_of_partitions=4,
      )
      assert (
          model.engine == DJLServingEngineEntryPointDefaults.DEEPSPEED
      )
      expected_url = (
          f"https://huggingface.co/{HF_MODEL_ID}/raw/main/config.json"
      )
      mock_urlopen.assert_any_call(expected_url)
  
      serving_properties = model.generate_serving_properties()
      assert serving_properties["option.model_id"] == HF_MODEL_ID
  
imports: from __future__ import absolute_import
  import logging
  import json
  from json import JSONDecodeError
  import pytest
  from mock import Mock, MagicMock
  from mock import patch, mock_open
  from sagemaker.djl_inference import defaults, DJLModel, DJLPredictor, HuggingFaceAccelerateModel, DeepSpeedModel
  from sagemaker.djl_inference.model import DJLServingEngineEntryPointDefaults
  from sagemaker.s3_utils import s3_path_join
  from sagemaker.session_settings import SessionSettings
  from tests.unit import _test_default_bucket_and_prefix_combinations, DEFAULT_S3_BUCKET_NAME, DEFAULT_S3_OBJECT_KEY_PREFIX_NAME
label_desc: Use image node_id 3 for calling a global function with example usage: test_create_model_valid_hf_hub_model_id(mock_urlopen, sagemaker_session) without return types