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Update README.md with new model card content

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@@ -14,8 +14,8 @@ Weights are released under the [MIT License](https://opensource.org/license/mit)
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  ## Links
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- * [DeBERTaV3 Quickstart Notebook](https://www.kaggle.com/code/gabrielrasskin/debertav3-quickstart)
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- * [DeBERTaV3 API Documentation](https://keras.io/api/keras_hub/models/deberta_v3/deberta_v3_classifier/)
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  * [DeBERTaV3 Model Paper](https://arxiv.org/abs/2111.09543)
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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/)
@@ -26,7 +26,7 @@ Keras and KerasHub can be installed with:
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  ```
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  pip install -U -q keras-hub
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- pip install -U -q keras>=3
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  ```
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  Jax, TensorFlow, and Torch come preinstalled in Kaggle Notebooks. For instruction 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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+ * [DeBERTaV3 Quickstart Notebook](https://www.kaggle.com/code/laxmareddypatlolla/debertav3-quickstart)
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+ * [DeBERTaV3 API Documentation](https://keras.io/api/keras_hub/models/deberta_v3)
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  * [DeBERTaV3 Model Paper](https://arxiv.org/abs/2111.09543)
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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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  ```
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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 instruction on installing them in another environment see the [Keras Getting Started](https://keras.io/getting_started/) page.