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Update md files to torchvision 0.14.1 and use new MultiWeights API #296

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e6cd155
Update md file to torchvision 0.13 and use new MultiWeights API
NicolasHug Jul 15, 2022
8b3347c
Merge branch 'master' of github.com:pytorch/hub into update_vision_13
NicolasHug Jan 13, 2023
db634d8
0.13 -> 0.14.1
NicolasHug Jan 13, 2023
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2 changes: 1 addition & 1 deletion docs/template.md
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Expand Up @@ -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 -->

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2 changes: 1 addition & 1 deletion pytorch_vision_alexnet.md
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Expand Up @@ -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()
```

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6 changes: 3 additions & 3 deletions pytorch_vision_deeplabv3_resnet101.md
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Expand Up @@ -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()
```

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8 changes: 4 additions & 4 deletions pytorch_vision_densenet.md
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Expand Up @@ -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()
```

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4 changes: 2 additions & 2 deletions pytorch_vision_fcn_resnet101.md
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Expand Up @@ -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()
```

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2 changes: 1 addition & 1 deletion pytorch_vision_googlenet.md
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Expand Up @@ -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()
```

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2 changes: 1 addition & 1 deletion pytorch_vision_inception_v3.md
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Expand Up @@ -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()
```

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2 changes: 1 addition & 1 deletion pytorch_vision_mobilenet_v2.md
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Expand Up @@ -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()
```

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10 changes: 5 additions & 5 deletions pytorch_vision_resnet.md
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Expand Up @@ -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()
```

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4 changes: 2 additions & 2 deletions pytorch_vision_resnext.md
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Expand Up @@ -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()
```

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2 changes: 1 addition & 1 deletion pytorch_vision_shufflenet_v2.md
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Expand Up @@ -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()
```

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4 changes: 2 additions & 2 deletions pytorch_vision_squeezenet.md
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Expand Up @@ -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()
```

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16 changes: 8 additions & 8 deletions pytorch_vision_vgg.md
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Expand Up @@ -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()
```

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4 changes: 2 additions & 2 deletions pytorch_vision_wide_resnet.md
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Expand Up @@ -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()
```

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