Update README.md with new model card content

README.md

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 library_name: keras-hub
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-### Model Overview
+## Model Overview
 DeepLabv3+ model is developed by Google for semantic segmentation. This guide demonstrates how to finetune and use DeepLabv3+ model for image semantic segmentaion with KerasCV. Its architecture that combines atrous convolutions, contextual information aggregation, and powerful backbones to achieve accurate and detailed semantic segmentation. The DeepLabv3+ model has been shown to achieve state-of-the-art results on a variety of image segmentation benchmarks. This model is supported in both KerasCV and KerasHub. KerasCV will no longer be actively developed, so please try to use KerasHub.
 `
 Weights are released under the [Apache 2 License](https://apache.org/licenses/LICENSE-2.0). Keras model code is released under the [Apache 2 License](https://github.com/keras-team/keras-hub/blob/master/LICENSE).
@@ -35,7 +35,7 @@ The following model checkpoints are provided by the Keras team. Full code exampl
 ## Model card
 https://arxiv.org/abs/1802.02611
 
-### Example Usage
+## Example Usage
 Load DeepLabv3+ presets a extension of DeepLabv3 by adding a simple yet
 effective decoder module to refine the segmentation results especially
 along object boundaries.