Update README.md with new model card content

README.md

@@ -26,6 +26,31 @@ warranties or conditions of any kind. The underlying model is provided by a
 third party and subject to a separate license, available
 [here](https://github.com/facebookresearch/fairseq).
 
+## Links
+
+* [RoBERTa Quickstart Notebook](https://www.kaggle.com/code/laxmareddypatlolla/roberta-quickstart-notebook)
+* [RoBERTa API Documentation](https://keras.io/keras_hub/api/models/roberta/)
+* [KerasHub Beginner Guide](https://keras.io/guides/keras_hub/getting_started/)
+* [KerasHub Model Publishing Guide](https://keras.io/guides/keras_hub/upload/)
+
+## Installation
+
+Keras and KerasHub can be installed with:
+
+```
+pip install -U -q keras-Hub
+pip install -U -q keras
+```
+
+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.
+
+## Presets
+
+The following model checkpoints are provided by the Keras team. Full code examples for each are available below.
+| Preset name    | Parameters | Description                                      |
+|----------------|------------|--------------------------------------------------|
+| roberta_base_en | 124.05M     | 12-layer RoBERTa model where case is maintained.Trained on English Wikipedia, BooksCorpus, CommonCraw, and OpenWebText.  |
+| roberta_large_en | 354.31M    | 24-layer RoBERTa model where case is maintained.Trained on English Wikipedia, BooksCorpus, CommonCraw, and OpenWebText. |
 
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