Update README.md with new model card content

README.md

@@ -14,7 +14,7 @@ Weights and Keras model code are released under the [Apache 2 License](https://g
 
 ## Links
 
-* [Bert Quickstart Notebook](https://www.kaggle.com/code/matthewdwatson/bert-quickstart)
+* [Bert Quickstart Notebook](https://www.kaggle.com/code/laxmareddypatlolla/bert-quickstart-notebook)
 * [Bert API Documentation](https://keras.io/api/keras_hub/models/bert/)
 * [Bert Model Card](https://github.com/google-research/bert/blob/master/README.md)
 * [KerasHub Beginner Guide](https://keras.io/guides/keras_hub/getting_started/)
@@ -46,6 +46,7 @@ The following model checkpoints are provided by the Keras team. Full code exampl
 | `bert_base_multi`        | 177.85M    | 12-layer BERT model where case is maintained. |
 | `bert_large_en_uncased`  | 335.14M    | 24-layer BERT model where all input is lowercased. |
 | `bert_large_en`          | 333.58M    | 24-layer BERT model where case is maintained. |
+| `bert_tiny_en_uncased_sst2 `          | 4.39M    | he bert_tiny_en_uncased backbone model fine-tuned on the SST-2 sentiment analysis dataset. |
 
 ## Example Usage
 ```python