diff --git a/bundle/pythonic_usage_guidance/pythonic_bundle_access.ipynb b/bundle/pythonic_usage_guidance/pythonic_bundle_access.ipynb
index 2360602142..84535100c7 100644
--- a/bundle/pythonic_usage_guidance/pythonic_bundle_access.ipynb
+++ b/bundle/pythonic_usage_guidance/pythonic_bundle_access.ipynb
@@ -404,8 +404,7 @@
     "    name=\"brats_mri_segmentation\",\n",
     "    bundle_dir=root_dir,\n",
     "    source=\"monaihosting\",\n",
-    "    in_channels=3,\n",
-    "    out_channels=1,\n",
+    "    net_override={\"in_channels\": 3, \"out_channels\": 1},\n",
     ")\n",
     "\n",
     "# using `exclude_vars` to filter loading weights.\n",
diff --git a/computer_assisted_intervention/endoscopic_inbody_classification.ipynb b/computer_assisted_intervention/endoscopic_inbody_classification.ipynb
index 6e095f3019..fb97c7f474 100644
--- a/computer_assisted_intervention/endoscopic_inbody_classification.ipynb
+++ b/computer_assisted_intervention/endoscopic_inbody_classification.ipynb
@@ -36,7 +36,6 @@
    "execution_count": 1,
    "id": "5f9e4066",
    "metadata": {},
-   "outputs": [],
    "source": [
     "!python -c \"import monai\" || pip install -q \"monai-weekly[pillow, ignite, tqdm]\"\n",
     "!python -c \"import matplotlib\" || pip install -q matplotlib\n",
@@ -419,7 +418,7 @@
    "source": [
     "max_epochs = 5\n",
     "\n",
-    "pretrained_model = monai.bundle.load(name=\"endoscopic_inbody_classification\", bundle_dir=\"./\", return_state_dict=False)\n",
+    "pretrained_model = monai.bundle.load(name=\"endoscopic_inbody_classification\", bundle_dir=\"./\")\n",
     "\n",
     "pretrained_model.train()\n",
     "losses = []\n",
@@ -483,7 +482,7 @@
  ],
  "metadata": {
   "kernelspec": {
-   "display_name": "Python 3 (ipykernel)",
+   "display_name": "Python 3",
    "language": "python",
    "name": "python3"
   },
@@ -497,7 +496,7 @@
    "name": "python",
    "nbconvert_exporter": "python",
    "pygments_lexer": "ipython3",
-   "version": "3.8.10"
+   "version": "3.10.12"
   }
  },
  "nbformat": 4,