diff --git a/opensearch_py_ml/ml_models/sentencetransformermodel.py b/opensearch_py_ml/ml_models/sentencetransformermodel.py
index 6494209d..c664650c 100644
--- a/opensearch_py_ml/ml_models/sentencetransformermodel.py
+++ b/opensearch_py_ml/ml_models/sentencetransformermodel.py
@@ -1006,7 +1006,7 @@ def make_model_config_json(
         :param pooling_mode: Optional, the pooling mode of the model. If None, parse pooling_mode
             from the config file of pre-trained hugging-face model. If not found, do not include it.
         :type pooling_mode: string
-        :param normalize_result: Optional, whether to normalize the result of the model. If None, check if 2_Normalize folder 
+        :param normalize_result: Optional, whether to normalize the result of the model. If None, check if 2_Normalize folder
             exists in the pre-trained hugging-face model folder. If not found, do not include it.
         :type normalize_result: bool
         :param all_config:
@@ -1098,28 +1098,40 @@ def make_model_config_json(
                 "all_config": json.dumps(all_config),
             },
         }
-        
+
         if pooling_mode is not None:
-            model_config_content['model_config']['pooling_mode'] = pooling_mode
+            model_config_content["model_config"]["pooling_mode"] = pooling_mode
         else:
-            pooling_config_json_file_path = os.path.join(folder_path, "1_Pooling", "config.json")
+            pooling_config_json_file_path = os.path.join(
+                folder_path, "1_Pooling", "config.json"
+            )
             if os.path.exists(pooling_config_json_file_path):
                 try:
                     with open(pooling_config_json_file_path) as f:
                         if verbose:
-                            print("reading pooling config file from: " + pooling_config_json_file_path)
+                            print(
+                                "reading pooling config file from: "
+                                + pooling_config_json_file_path
+                            )
                         pooling_config_content = json.load(f)
                         if pooling_mode is None:
                             pooling_mode_mapping_dict = {
                                 "pooling_mode_cls_token": "CLS",
                                 "pooling_mode_mean_tokens": "MEAN",
                                 "pooling_mode_max_tokens": "MAX",
-                                "pooling_mode_mean_sqrt_len_tokens": "MEAN_SQRT_LEN"
+                                "pooling_mode_mean_sqrt_len_tokens": "MEAN_SQRT_LEN",
                             }
                             for mapping_item in pooling_mode_mapping_dict:
-                                if mapping_item in pooling_config_content.keys() and pooling_config_content[mapping_item]:
-                                    pooling_mode = pooling_mode_mapping_dict[mapping_item]
-                                    model_config_content['model_config']['pooling_mode'] = pooling_mode
+                                if (
+                                    mapping_item in pooling_config_content.keys()
+                                    and pooling_config_content[mapping_item]
+                                ):
+                                    pooling_mode = pooling_mode_mapping_dict[
+                                        mapping_item
+                                    ]
+                                    model_config_content["model_config"][
+                                        "pooling_mode"
+                                    ] = pooling_mode
                                     break
                             else:
                                 print(
@@ -1136,15 +1148,15 @@ def make_model_config_json(
                         pooling_config_json_file_path,
                         ". Please check the config.json ",
                         "file in the path.",
-                    ) 
-                    
+                    )
+
         if normalize_result is not None:
-            model_config_content['model_config']['normalize_result'] = normalize_result
+            model_config_content["model_config"]["normalize_result"] = normalize_result
         else:
             normalize_result_json_file_path = os.path.join(folder_path, "2_Normalize")
             if os.path.exists(normalize_result_json_file_path):
-                model_config_content['model_config']['normalize_result'] = True                
-        
+                model_config_content["model_config"]["normalize_result"] = True
+
         if verbose:
             print("generating ml-commons_model_config.json file...\n")
             print(model_config_content)
@@ -1155,8 +1167,10 @@ def make_model_config_json(
         os.makedirs(os.path.dirname(model_config_file_path), exist_ok=True)
         with open(model_config_file_path, "w") as file:
             json.dump(model_config_content, file)
-        print("ml-commons_model_config.json file is saved at : ", model_config_file_path)
-        
+        print(
+            "ml-commons_model_config.json file is saved at : ", model_config_file_path
+        )
+
         return model_config_file_path
 
     # private methods