diff --git a/classify/tutorial.ipynb b/classify/tutorial.ipynb
index 75eebd8e1132..844da0c418f5 100644
--- a/classify/tutorial.ipynb
+++ b/classify/tutorial.ipynb
@@ -1445,7 +1445,7 @@
         "# YOLOv5 PyTorch HUB Inference (DetectionModels only)\n",
         "import torch\n",
         "\n",
-        "model = torch.hub.load('ultralytics/yolov5', 'yolov5s')  # yolov5n - yolov5x6 or custom\n",
+        "model = torch.hub.load('ultralytics/yolov5', 'yolov5s', force_reload=True, trust_repo=True)  # or yolov5n - yolov5x6 or custom\n",
         "im = 'https://ultralytics.com/images/zidane.jpg'  # file, Path, PIL.Image, OpenCV, nparray, list\n",
         "results = model(im)  # inference\n",
         "results.print()  # or .show(), .save(), .crop(), .pandas(), etc."
diff --git a/segment/tutorial.ipynb b/segment/tutorial.ipynb
index 0ece0f60e4d6..cd215e7f3467 100644
--- a/segment/tutorial.ipynb
+++ b/segment/tutorial.ipynb
@@ -558,7 +558,7 @@
         "# YOLOv5 PyTorch HUB Inference (DetectionModels only)\n",
         "import torch\n",
         "\n",
-        "model = torch.hub.load('ultralytics/yolov5', 'yolov5s-seg')  # yolov5n - yolov5x6 or custom\n",
+        "model = torch.hub.load('ultralytics/yolov5', 'yolov5s-seg', force_reload=True, trust_repo=True)  # or yolov5n - yolov5x6 or custom\n",
         "im = 'https://ultralytics.com/images/zidane.jpg'  # file, Path, PIL.Image, OpenCV, nparray, list\n",
         "results = model(im)  # inference\n",
         "results.print()  # or .show(), .save(), .crop(), .pandas(), etc."
diff --git a/tutorial.ipynb b/tutorial.ipynb
index 440e370ce724..f666dbde7e8c 100644
--- a/tutorial.ipynb
+++ b/tutorial.ipynb
@@ -602,4 +602,4 @@
       "outputs": []
     }
   ]
-}
\ No newline at end of file
+}