diff --git a/optimum/exporters/openvino/__main__.py b/optimum/exporters/openvino/__main__.py
index 736b5234a9..1d3ab14907 100644
--- a/optimum/exporters/openvino/__main__.py
+++ b/optimum/exporters/openvino/__main__.py
@@ -238,9 +238,9 @@ def main_export(
         if load_in_8bit is None:
             if model_kwargs is None:
                 model_kwargs = {}
-             
+
             if model.num_parameters() >= _MAX_UNCOMPRESSED_DECODER_SIZE:
-                model_kwargs["load_in_8bit"] = True    
+                model_kwargs["load_in_8bit"] = True
             else:
                 model_kwargs["load_in_8bit"] = False
 
diff --git a/optimum/exporters/openvino/convert.py b/optimum/exporters/openvino/convert.py
index 24af408f78..b1597e60d2 100644
--- a/optimum/exporters/openvino/convert.py
+++ b/optimum/exporters/openvino/convert.py
@@ -19,9 +19,8 @@
 from pathlib import Path
 from typing import Any, Dict, List, Optional, Tuple, Union
 
-from transformers.utils import is_tf_available, is_torch_available
-
 import nncf
+from transformers.utils import is_tf_available, is_torch_available
 
 from openvino.runtime import PartialShape, save_model
 from openvino.runtime.utils.types import get_element_type
@@ -199,7 +198,7 @@ def export_pytorch_via_onnx(
         ov_model,
         output.parent / OV_XML_FILE_NAME if output.suffix != ".xml" else output,
         compress_to_fp16=False,
-        load_in_8bit=model_kwargs.get("load_in_8bit", False)
+        load_in_8bit=model_kwargs.get("load_in_8bit", False),
     )
     return input_names, output_names, True
 
@@ -323,14 +322,11 @@ def ts_patched_forward(*args, **kwargs):
             dims = inputs[input_name]
 
             for dim in dims:
-                static_shape[dim] = -1  
+                static_shape[dim] = -1
             inp_tensor.get_node().set_partial_shape(static_shape)
             inp_tensor.get_node().set_element_type(get_element_type(inp_data.cpu().numpy().dtype))
         ov_model.validate_nodes_and_infer_types()
-        _save_model(ov_model,
-                   output,
-                   compress_to_fp16=False,
-                   load_in_8bit=model_kwargs.get("load_in_8bit", False))
+        _save_model(ov_model, output, compress_to_fp16=False, load_in_8bit=model_kwargs.get("load_in_8bit", False))
         clear_class_registry()
         del model
         gc.collect()
diff --git a/optimum/intel/openvino/modeling_decoder.py b/optimum/intel/openvino/modeling_decoder.py
index db3bc21108..91a2c7ddc2 100644
--- a/optimum/intel/openvino/modeling_decoder.py
+++ b/optimum/intel/openvino/modeling_decoder.py
@@ -86,6 +86,7 @@
     "pegasus",
 }
 
+
 @add_start_docstrings(
     """
     Base OVBaseDecoderModel class.
@@ -225,7 +226,6 @@ def _from_transformers(
             if use_cache:
                 task = task + "-with-past"
 
-
         main_export(
             model_name_or_path=model_id,
             output=save_dir_path,