Update README.md with new model card content

README.md

@@ -24,6 +24,33 @@ 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
+
+* [XLM-RoBERTa Quickstart Notebook](https://www.kaggle.com/code/laxmareddypatlolla/xlm-roberta-quickstart-notebook)
+* [XLM-RoBERTa  API Documentation](https://keras.io/keras_hub/api/models/xlm_roberta/)
+* [XLM-RoBERTa  Model Card](https://huggingface.co/FacebookAI/xlm-roberta-base)
+* [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                                      |
+|----------------|------------|--------------------------------------------------|
+| xlm_roberta_base_multi |   277.45M  | 12-layer XLM-RoBERTa model where case is maintained. Trained on CommonCrawl in 100 languages.|
+| xlm_roberta_large_multi | 558.84M  | 24-layer XLM-RoBERTa model where case is maintained. Trained on CommonCrawl in 100 languages. |
+
 
 __Arguments__