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Update README.md with new model card content
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README.md
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library_name: keras-hub
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The Segment Anything Model (SAM) produces high quality object masks from input prompts such as points or boxes, and it can be used to generate masks for all objects in an image. It has been trained on a dataset of 11 million images and 1.1 billion masks, and has strong zero-shot performance on a variety of segmentation tasks. 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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| sam_large_sa1b | 312.34M | The large SAM model trained on the SA1B dataset. |
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| sam_huge_sa1b | 641.09M | The huge SAM model trained on the SA1B dataset. |
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Load pretrained model using `from_preset`.
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```python
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library_name: keras-hub
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## Model Overview
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The Segment Anything Model (SAM) produces high quality object masks from input prompts such as points or boxes, and it can be used to generate masks for all objects in an image. It has been trained on a dataset of 11 million images and 1.1 billion masks, and has strong zero-shot performance on a variety of segmentation tasks. 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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| sam_large_sa1b | 312.34M | The large SAM model trained on the SA1B dataset. |
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| sam_huge_sa1b | 641.09M | The huge SAM model trained on the SA1B dataset. |
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## Example Usage
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Load pretrained model using `from_preset`.
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```python
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