diff --git a/docs/template.md b/docs/template.md
index be3b7a3e..a2b5e7b4 100644
--- a/docs/template.md
+++ b/docs/template.md
@@ -18,7 +18,7 @@ accelerator: <OPTIONAL: Current supported values: "cuda", "cuda-optional">
 <!-- REQUIRED: provide a working script to demonstrate it works with torch.hub, example below -->
 ```python
 import torch
-torch.hub.load('pytorch/vision', 'resnet18', pretrained=True)
+torch.hub.load('pytorch/vision', 'resnet18', weights="DEFAULT")
 ```
 <!-- Walkthrough a small example of using your model. Ideally, less than 25 lines of code -->
 
diff --git a/pytorch_vision_alexnet.md b/pytorch_vision_alexnet.md
index 3fa38f53..39dc3625 100644
--- a/pytorch_vision_alexnet.md
+++ b/pytorch_vision_alexnet.md
@@ -19,7 +19,7 @@ demo-model-link: https://huggingface.co/spaces/pytorch/AlexNet
 
 ```python
 import torch
-model = torch.hub.load('pytorch/vision:v0.10.0', 'alexnet', pretrained=True)
+model = torch.hub.load('pytorch/vision:v0.14.1', 'alexnet', weights="IMAGENET1K_V1")
 model.eval()
 ```
 
diff --git a/pytorch_vision_deeplabv3_resnet101.md b/pytorch_vision_deeplabv3_resnet101.md
index ecc52607..64531284 100644
--- a/pytorch_vision_deeplabv3_resnet101.md
+++ b/pytorch_vision_deeplabv3_resnet101.md
@@ -19,10 +19,10 @@ order: 1
 
 ```python
 import torch
-model = torch.hub.load('pytorch/vision:v0.10.0', 'deeplabv3_resnet50', pretrained=True)
+model = torch.hub.load('pytorch/vision:v0.14.1', 'deeplabv3_resnet50', weights="COCO_WITH_VOC_LABELS_V1")
 # or any of these variants
-# model = torch.hub.load('pytorch/vision:v0.10.0', 'deeplabv3_resnet101', pretrained=True)
-# model = torch.hub.load('pytorch/vision:v0.10.0', 'deeplabv3_mobilenet_v3_large', pretrained=True)
+# model = torch.hub.load('pytorch/vision:v0.14.1', 'deeplabv3_resnet101', weights="COCO_WITH_VOC_LABELS_V1")
+# model = torch.hub.load('pytorch/vision:v0.14.1', 'deeplabv3_mobilenet_v3_large', weights="COCO_WITH_VOC_LABELS_V1")
 model.eval()
 ```
 
diff --git a/pytorch_vision_densenet.md b/pytorch_vision_densenet.md
index 29cab0a8..edba7ccb 100644
--- a/pytorch_vision_densenet.md
+++ b/pytorch_vision_densenet.md
@@ -19,11 +19,11 @@ demo-model-link: https://huggingface.co/spaces/pytorch/Densenet
 
 ```python
 import torch
-model = torch.hub.load('pytorch/vision:v0.10.0', 'densenet121', pretrained=True)
+model = torch.hub.load('pytorch/vision:v0.14.1', 'densenet121', weights="IMAGENET1K_V1")
 # or any of these variants
-# model = torch.hub.load('pytorch/vision:v0.10.0', 'densenet169', pretrained=True)
-# model = torch.hub.load('pytorch/vision:v0.10.0', 'densenet201', pretrained=True)
-# model = torch.hub.load('pytorch/vision:v0.10.0', 'densenet161', pretrained=True)
+# model = torch.hub.load('pytorch/vision:v0.14.1', 'densenet169', weights="IMAGENET1K_V1")
+# model = torch.hub.load('pytorch/vision:v0.14.1', 'densenet201', weights="IMAGENET1K_V1")
+# model = torch.hub.load('pytorch/vision:v0.14.1', 'densenet161', weights="IMAGENET1K_V1")
 model.eval()
 ```
 
diff --git a/pytorch_vision_fcn_resnet101.md b/pytorch_vision_fcn_resnet101.md
index bb501f26..c7bc742f 100644
--- a/pytorch_vision_fcn_resnet101.md
+++ b/pytorch_vision_fcn_resnet101.md
@@ -19,9 +19,9 @@ demo-model-link: https://huggingface.co/spaces/pytorch/FCN
 
 ```python
 import torch
-model = torch.hub.load('pytorch/vision:v0.10.0', 'fcn_resnet50', pretrained=True)
+model = torch.hub.load('pytorch/vision:v0.14.1', 'fcn_resnet50', weights="COCO_WITH_VOC_LABELS_V1")
 # or
-# model = torch.hub.load('pytorch/vision:v0.10.0', 'fcn_resnet101', pretrained=True)
+# model = torch.hub.load('pytorch/vision:v0.14.1', 'fcn_resnet101', weights="COCO_WITH_VOC_LABELS_V1")
 model.eval()
 ```
 
diff --git a/pytorch_vision_googlenet.md b/pytorch_vision_googlenet.md
index 0e8f1d25..1e85487a 100644
--- a/pytorch_vision_googlenet.md
+++ b/pytorch_vision_googlenet.md
@@ -19,7 +19,7 @@ order: 10
 
 ```python
 import torch
-model = torch.hub.load('pytorch/vision:v0.10.0', 'googlenet', pretrained=True)
+model = torch.hub.load('pytorch/vision:v0.14.1', 'googlenet', weights="IMAGENET1K_V1")
 model.eval()
 ```
 
diff --git a/pytorch_vision_inception_v3.md b/pytorch_vision_inception_v3.md
index a87e4d86..449469d5 100644
--- a/pytorch_vision_inception_v3.md
+++ b/pytorch_vision_inception_v3.md
@@ -19,7 +19,7 @@ demo-model-link: https://huggingface.co/spaces/pytorch/Inception_v3
 
 ```python
 import torch
-model = torch.hub.load('pytorch/vision:v0.10.0', 'inception_v3', pretrained=True)
+model = torch.hub.load('pytorch/vision:v0.14.1', 'inception_v3', weights="IMAGENET1K_V1")
 model.eval()
 ```
 
diff --git a/pytorch_vision_mobilenet_v2.md b/pytorch_vision_mobilenet_v2.md
index 6be178b5..68f272ef 100644
--- a/pytorch_vision_mobilenet_v2.md
+++ b/pytorch_vision_mobilenet_v2.md
@@ -19,7 +19,7 @@ demo-model-link: https://huggingface.co/spaces/pytorch/MobileNet_v2
 
 ```python
 import torch
-model = torch.hub.load('pytorch/vision:v0.10.0', 'mobilenet_v2', pretrained=True)
+model = torch.hub.load('pytorch/vision:v0.14.1', 'mobilenet_v2', weights="IMAGENET1K_V1")
 model.eval()
 ```
 
diff --git a/pytorch_vision_resnet.md b/pytorch_vision_resnet.md
index a64244a1..d54dfdc6 100644
--- a/pytorch_vision_resnet.md
+++ b/pytorch_vision_resnet.md
@@ -19,12 +19,12 @@ demo-model-link: https://huggingface.co/spaces/pytorch/ResNet
 
 ```python
 import torch
-model = torch.hub.load('pytorch/vision:v0.10.0', 'resnet18', pretrained=True)
+model = torch.hub.load('pytorch/vision:v0.14.1', 'resnet18', weights="IMAGENET1K_V1")
 # or any of these variants
-# model = torch.hub.load('pytorch/vision:v0.10.0', 'resnet34', pretrained=True)
-# model = torch.hub.load('pytorch/vision:v0.10.0', 'resnet50', pretrained=True)
-# model = torch.hub.load('pytorch/vision:v0.10.0', 'resnet101', pretrained=True)
-# model = torch.hub.load('pytorch/vision:v0.10.0', 'resnet152', pretrained=True)
+# model = torch.hub.load('pytorch/vision:v0.14.1', 'resnet34', weights="IMAGENET1K_V1")
+# model = torch.hub.load('pytorch/vision:v0.14.1', 'resnet50', weights="IMAGENET1K_V1")
+# model = torch.hub.load('pytorch/vision:v0.14.1', 'resnet101', weights="IMAGENET1K_V1")
+# model = torch.hub.load('pytorch/vision:v0.14.1', 'resnet152', weights="IMAGENET1K_V1")
 model.eval()
 ```
 
diff --git a/pytorch_vision_resnext.md b/pytorch_vision_resnext.md
index 055c1abc..23512935 100644
--- a/pytorch_vision_resnext.md
+++ b/pytorch_vision_resnext.md
@@ -19,9 +19,9 @@ demo-model-link: https://huggingface.co/spaces/pytorch/ResNext
 
 ```python
 import torch
-model = torch.hub.load('pytorch/vision:v0.10.0', 'resnext50_32x4d', pretrained=True)
+model = torch.hub.load('pytorch/vision:v0.14.1', 'resnext50_32x4d', weights="IMAGENET1K_V1")
 # or
-# model = torch.hub.load('pytorch/vision:v0.10.0', 'resnext101_32x8d', pretrained=True)
+# model = torch.hub.load('pytorch/vision:v0.14.1', 'resnext101_32x8d', weights="IMAGENET1K_V1")
 model.eval()
 ```
 
diff --git a/pytorch_vision_shufflenet_v2.md b/pytorch_vision_shufflenet_v2.md
index 1fac4538..40c35b7a 100644
--- a/pytorch_vision_shufflenet_v2.md
+++ b/pytorch_vision_shufflenet_v2.md
@@ -19,7 +19,7 @@ demo-model-link: https://huggingface.co/spaces/pytorch/ShuffleNet_v2
 
 ```python
 import torch
-model = torch.hub.load('pytorch/vision:v0.10.0', 'shufflenet_v2_x1_0', pretrained=True)
+model = torch.hub.load('pytorch/vision:v0.14.1', 'shufflenet_v2_x1_0', weights="IMAGENET1K_V1")
 model.eval()
 ```
 
diff --git a/pytorch_vision_squeezenet.md b/pytorch_vision_squeezenet.md
index bff65a8c..2bbbb1c4 100644
--- a/pytorch_vision_squeezenet.md
+++ b/pytorch_vision_squeezenet.md
@@ -19,9 +19,9 @@ demo-model-link: https://huggingface.co/spaces/pytorch/SqueezeNet
 
 ```python
 import torch
-model = torch.hub.load('pytorch/vision:v0.10.0', 'squeezenet1_0', pretrained=True)
+model = torch.hub.load('pytorch/vision:v0.14.1', 'squeezenet1_0', weights="IMAGENET1K_V1")
 # or
-# model = torch.hub.load('pytorch/vision:v0.10.0', 'squeezenet1_1', pretrained=True)
+# model = torch.hub.load('pytorch/vision:v0.14.1', 'squeezenet1_1', weights="IMAGENET1K_V1")
 model.eval()
 ```
 
diff --git a/pytorch_vision_vgg.md b/pytorch_vision_vgg.md
index 4e59ab22..a375d02c 100644
--- a/pytorch_vision_vgg.md
+++ b/pytorch_vision_vgg.md
@@ -19,15 +19,15 @@ demo-model-link: https://huggingface.co/spaces/pytorch/vgg-nets
 
 ```python
 import torch
-model = torch.hub.load('pytorch/vision:v0.10.0', 'vgg11', pretrained=True)
+model = torch.hub.load('pytorch/vision:v0.14.1', 'vgg11', weights="IMAGENET1K_V1")
 # or any of these variants
-# model = torch.hub.load('pytorch/vision:v0.10.0', 'vgg11_bn', pretrained=True)
-# model = torch.hub.load('pytorch/vision:v0.10.0', 'vgg13', pretrained=True)
-# model = torch.hub.load('pytorch/vision:v0.10.0', 'vgg13_bn', pretrained=True)
-# model = torch.hub.load('pytorch/vision:v0.10.0', 'vgg16', pretrained=True)
-# model = torch.hub.load('pytorch/vision:v0.10.0', 'vgg16_bn', pretrained=True)
-# model = torch.hub.load('pytorch/vision:v0.10.0', 'vgg19', pretrained=True)
-# model = torch.hub.load('pytorch/vision:v0.10.0', 'vgg19_bn', pretrained=True)
+# model = torch.hub.load('pytorch/vision:v0.14.1', 'vgg11_bn', weights="IMAGENET1K_V1")
+# model = torch.hub.load('pytorch/vision:v0.14.1', 'vgg13', weights="IMAGENET1K_V1")
+# model = torch.hub.load('pytorch/vision:v0.14.1', 'vgg13_bn', weights="IMAGENET1K_V1")
+# model = torch.hub.load('pytorch/vision:v0.14.1', 'vgg16', weights="IMAGENET1K_V1")
+# model = torch.hub.load('pytorch/vision:v0.14.1', 'vgg16_bn', weights="IMAGENET1K_V1")
+# model = torch.hub.load('pytorch/vision:v0.14.1', 'vgg19', weights="IMAGENET1K_V1")
+# model = torch.hub.load('pytorch/vision:v0.14.1', 'vgg19_bn', weights="IMAGENET1K_V1")
 model.eval()
 ```
 
diff --git a/pytorch_vision_wide_resnet.md b/pytorch_vision_wide_resnet.md
index 2419a807..94cb564f 100644
--- a/pytorch_vision_wide_resnet.md
+++ b/pytorch_vision_wide_resnet.md
@@ -20,9 +20,9 @@ demo-model-link: https://huggingface.co/spaces/pytorch/Wide_Resnet
 ```python
 import torch
 # load WRN-50-2:
-model = torch.hub.load('pytorch/vision:v0.10.0', 'wide_resnet50_2', pretrained=True)
+model = torch.hub.load('pytorch/vision:v0.14.1', 'wide_resnet50_2', weights="IMAGENET1K_V1")
 # or WRN-101-2
-model = torch.hub.load('pytorch/vision:v0.10.0', 'wide_resnet101_2', pretrained=True)
+model = torch.hub.load('pytorch/vision:v0.14.1', 'wide_resnet101_2', weights="IMAGENET1K_V1")
 model.eval()
 ```