diff --git a/optimum/exporters/tasks.py b/optimum/exporters/tasks.py
index 0a3758e97cf..5ed0a2c6e22 100644
--- a/optimum/exporters/tasks.py
+++ b/optimum/exporters/tasks.py
@@ -1790,7 +1790,7 @@ def infer_task_from_model(
                 cache_dir=cache_dir,
                 token=token,
             )
-        elif type(model) == type:
+        elif isinstance(model, type):
             inferred_task_name = cls._infer_task_from_model_or_model_class(model_class=model)
         else:
             inferred_task_name = cls._infer_task_from_model_or_model_class(model=model)
@@ -1944,7 +1944,7 @@ def infer_library_from_model(
                 cache_dir=cache_dir,
                 token=token,
             )
-        elif type(model) == type:
+        elif isinstance(model, type):
             library_name = cls._infer_library_from_model_or_model_class(model_class=model)
         else:
             library_name = cls._infer_library_from_model_or_model_class(model=model)
diff --git a/optimum/onnxruntime/runs/__init__.py b/optimum/onnxruntime/runs/__init__.py
index d21db2a4aca..1d982949344 100644
--- a/optimum/onnxruntime/runs/__init__.py
+++ b/optimum/onnxruntime/runs/__init__.py
@@ -110,9 +110,9 @@ def __init__(self, run_config):
         model_class = FeaturesManager.get_model_class_for_feature(get_autoclass_name(self.task))
         self.torch_model = model_class.from_pretrained(run_config["model_name_or_path"])
 
-        self.return_body["model_type"] = (
-            self.torch_model.config.model_type
-        )  # return_body is initialized in parent class
+        self.return_body[
+            "model_type"
+        ] = self.torch_model.config.model_type  # return_body is initialized in parent class
 
     def _launch_time(self, trial):
         batch_size = trial.suggest_categorical("batch_size", self.batch_sizes)