Image Classification
KerasHub
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Update README.md with new model card content

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  library_name: keras-hub
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- ### Model Overview
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  Instantiates the ResNet architecture. This model is supported in both KerasCV and KerasHub. KerasCV will no longer be actively developed, so please try to use KerasHub.
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  **Reference**
@@ -41,7 +41,7 @@ The following model checkpoints are provided by the Keras team. Weights have bee
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  | resnet_101_imagenet | 42.61M | 101-layer ResNet model pre-trained on the ImageNet 1k dataset at a 224x224 resolution |
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  | resnet_152_imagenet | 58.30M | 52-layer ResNet model pre-trained on the ImageNet 1k dataset at a 224x224 resolution |
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- ### Example Usage
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  ```python
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  # Pretrained ResNet backbone.
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  model = keras_hub.models.ResNetBackbone.from_preset("resnet_50_imagenet")
 
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  ---
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  library_name: keras-hub
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  ---
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+ ## Model Overview
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  Instantiates the ResNet architecture. This model is supported in both KerasCV and KerasHub. KerasCV will no longer be actively developed, so please try to use KerasHub.
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  **Reference**
 
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  | resnet_101_imagenet | 42.61M | 101-layer ResNet model pre-trained on the ImageNet 1k dataset at a 224x224 resolution |
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  | resnet_152_imagenet | 58.30M | 52-layer ResNet model pre-trained on the ImageNet 1k dataset at a 224x224 resolution |
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+ ## Example Usage
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  ```python
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  # Pretrained ResNet backbone.
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  model = keras_hub.models.ResNetBackbone.from_preset("resnet_50_imagenet")