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README.md
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@@ -12,10 +12,12 @@ The Segment Anything Model (SAM) produces high quality object masks from input p
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## Links
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* [Segment Anything Quickstart Notebook
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* [Segment Anything API Documentation](https://keras.io/api/keras_hub/models/sam/)
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* [Segment Anything Model Card](https://github.com/facebookresearch/segment-anything)
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* [Segment Anything paper](https://arxiv.org/abs/2304.02643)
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## Installation
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```
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pip install -U -q keras-Hub
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pip install -U -q keras
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```
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Jax, TensorFlow, and Torch come preinstalled in Kaggle Notebooks. For instructions on installing them in another environment see the [Keras Getting Started](https://keras.io/getting_started/) page.
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## Links
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* [Segment Anything Quickstart Notebook](https://www.kaggle.com/code/laxmareddypatlolla/segment-anything-quickstart)
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* [Segment Anything API Documentation](https://keras.io/api/keras_hub/models/sam/)
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* [Segment Anything Model Card](https://github.com/facebookresearch/segment-anything)
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* [Segment Anything paper](https://arxiv.org/abs/2304.02643)
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* [KerasHub Beginner Guide](https://keras.io/guides/keras_hub/getting_started/)
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* [KerasHub Model Publishing Guide](https://keras.io/guides/keras_hub/upload/)
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## Installation
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```
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pip install -U -q keras-Hub
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pip install -U -q keras
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```
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Jax, TensorFlow, and Torch come preinstalled in Kaggle Notebooks. For instructions on installing them in another environment see the [Keras Getting Started](https://keras.io/getting_started/) page.
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