diff --git a/src/bindings/python/src/openvino/frontend/pytorch/fx_decoder.py b/src/bindings/python/src/openvino/frontend/pytorch/fx_decoder.py
index a79892b3e4d..479e1a5cb1c 100644
--- a/src/bindings/python/src/openvino/frontend/pytorch/fx_decoder.py
+++ b/src/bindings/python/src/openvino/frontend/pytorch/fx_decoder.py
@@ -7,10 +7,9 @@
 from openvino.frontend.pytorch.py_pytorch_frontend import _FrontEndPytorchDecoder as Decoder
 from openvino.frontend.pytorch.py_pytorch_frontend import _Type as DecoderType
 from openvino.runtime import op, PartialShape, Type as OVType, OVAny, Shape
-from openvino.frontend.pytorch.utils import maybe_convert_max_int, make_constant, fetch_attr, pt_to_ov_type_map, ov_to_c_type_map
+from openvino.frontend.pytorch.utils import maybe_convert_max_int, make_constant, fetch_attr, pt_to_ov_type_map
 
 import torch
-import ctypes
 
 class TorchFXPythonDecoder (Decoder):
 
@@ -224,11 +223,7 @@ class TorchFXPythonDecoder (Decoder):
         if self.pt_module.op == 'get_attr':
             # Extract Constant from FX module field
             ret = fetch_attr(self.fx_gm, self.pt_module.target)
-            ovshape = PartialShape(ret.size())
-            ovtype = pt_to_ov_type_map[str(ret.type())]
-            c_type = ctypes.POINTER(ov_to_c_type_map[ovtype])
-            data_c_ptr = ctypes.cast(ret.data_ptr(), c_type)
-            ov_const = op.Constant(ovtype, ovshape.get_shape(), data_c_ptr[:ret.nelement()])
+            ov_const = op.Constant(ret.numpy(), shared_memory=True)
             return ov_const.outputs()
 
 
diff --git a/src/bindings/python/src/openvino/frontend/pytorch/utils.py b/src/bindings/python/src/openvino/frontend/pytorch/utils.py
index 97d237fb0ef..a3ac46e7011 100644
--- a/src/bindings/python/src/openvino/frontend/pytorch/utils.py
+++ b/src/bindings/python/src/openvino/frontend/pytorch/utils.py
@@ -7,7 +7,6 @@
 
 import torch
 import numpy as np
-import ctypes
 
 from openvino.runtime import op, Type as OVType, Shape, Tensor
 from openvino.runtime import opset11 as ops
@@ -132,13 +131,6 @@ pt_to_ov_type_map = {
     "torch.qint32": OVType.i32
 }
 
-ov_to_c_type_map = {
-    OVType.f32: ctypes.c_float,
-    OVType.f64: ctypes.c_double,
-    OVType.i32: ctypes.c_int,
-    OVType.i64: ctypes.c_int64,
-}
-
 
 wrapper_template = """
 import torch