diff --git a/tools/onnx-graphsurgeon/onnx_graphsurgeon/exporters/onnx_exporter.py b/tools/onnx-graphsurgeon/onnx_graphsurgeon/exporters/onnx_exporter.py
index a39ebe22..2dd2538d 100644
--- a/tools/onnx-graphsurgeon/onnx_graphsurgeon/exporters/onnx_exporter.py
+++ b/tools/onnx-graphsurgeon/onnx_graphsurgeon/exporters/onnx_exporter.py
@@ -18,6 +18,7 @@
 
 from typing import List, Sequence, Union
 
+import ml_dtypes
 import numpy as np
 import onnx
 import onnx.numpy_helper
@@ -131,12 +132,12 @@ def __call__(self, arr):
 
 _NUMPY_ARRAY_CONVERTERS = {
     onnx.TensorProto.BFLOAT16: NumpyArrayConverter(
-        np.uint16, onnx.helper.float32_to_bfloat16
+        np.uint16, ml_dtypes.bfloat16
     ),
     # FP8 in TensorRT supports negative zeros, no infinities
     # See https://onnx.ai/onnx/technical/float8.html#papers
     onnx.TensorProto.FLOAT8E4M3FN: NumpyArrayConverter(
-        np.uint8, lambda x: onnx.helper.float32_to_float8e4m3(x, fn=True, uz=False)
+        np.uint8, lambda x: ml_dtypes.float8_e4m3fn(x)
     ),
 }
 
diff --git a/tools/onnx-graphsurgeon/setup.py b/tools/onnx-graphsurgeon/setup.py
index a0ab7bf6..2eb389d9 100644
--- a/tools/onnx-graphsurgeon/setup.py
+++ b/tools/onnx-graphsurgeon/setup.py
@@ -29,6 +29,7 @@ def no_publish():
 
 
 REQUIRED_PACKAGES = [
+    "ml_dtypes",
     "numpy",
     "onnx>=1.14.0,<=1.16.1",
 ]
diff --git a/tools/onnx-graphsurgeon/tests/test_exporters.py b/tools/onnx-graphsurgeon/tests/test_exporters.py
index 5af002d0..eaffb8e2 100644
--- a/tools/onnx-graphsurgeon/tests/test_exporters.py
+++ b/tools/onnx-graphsurgeon/tests/test_exporters.py
@@ -214,13 +214,13 @@ def test_export_constant_tensor_to_value_info_proto(self):
                 onnx.TensorProto.BFLOAT16,
                 np.uint16,
                 0.02,
-                onnx.numpy_helper.bfloat16_to_float32,
+                np.float32,
             ),
             (
                 onnx.TensorProto.FLOAT8E4M3FN,
                 np.uint8,
                 0.35,
-                lambda x, dims: onnx.numpy_helper.float8e4m3_to_float32(x, dims, fn=True, uz=False),
+                lambda x, dims: np.float32(x),
             ),
         ],
     )