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Update pages/2_SmoothGrad.py
Browse files- pages/2_SmoothGrad.py +2 -2
pages/2_SmoothGrad.py
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@@ -34,8 +34,8 @@ instruction_text = """Users need to input the model(s), type of image set and im
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1. Choose model: Users can choose one or more models for comparison.
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There are 3 models supported: [ConvNeXt](https://huggingface.co/facebook/convnext-tiny-224),
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[ResNet](https://huggingface.co/microsoft/resnet-50) and [MobileNet](https://pytorch.org/hub/pytorch_vision_mobilenet_v2/).
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These 3 models have similar number of parameters.
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2. Choose type of Image set: There are 2 types of Image set. They are _User-defined set_ and _Random set_.
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3. Image set setting: If users choose _User-defined set_ in Image set,
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users need to enter a list of image IDs separated by commas (,). For example, `0,1,4,7` is a valid input.
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Check the page [ImageNet1k](/ImageNet1k) to see all the Image IDs.
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1. Choose model: Users can choose one or more models for comparison.
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There are 3 models supported: [ConvNeXt](https://huggingface.co/facebook/convnext-tiny-224),
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[ResNet](https://huggingface.co/microsoft/resnet-50) and [MobileNet](https://pytorch.org/hub/pytorch_vision_mobilenet_v2/).
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These 3 models have similar number of parameters.
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2. Choose type of Image set: There are 2 types of Image set. They are _User-defined set_ and _Random set_.
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3. Image set setting: If users choose _User-defined set_ in Image set,
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users need to enter a list of image IDs separated by commas (,). For example, `0,1,4,7` is a valid input.
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Check the page [ImageNet1k](/ImageNet1k) to see all the Image IDs.
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