Update README.md with new model card content

README.md

@@ -1,7 +1,7 @@
 ---
 library_name: keras-hub
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-### Model Overview
+## Model Overview
 DistilBert is a set of language models published by HuggingFace. They are efficient, distilled version of BERT, and are intended for classification and embedding of text, not for text-generation. See the model card below for benchmarks, data sources, and intended use cases.
 
 Weights and Keras model code are released under the [Apache 2 License](https://github.com/keras-team/keras-hub/blob/master/LICENSE).
@@ -35,7 +35,7 @@ The following model checkpoints are provided by the Keras team. Full code exampl
 | distil_bert_base_en         | 65.19M     | 6-layer model where case is maintained.                |
 | distil_bert_base_multi      | 134.73M    | 6-layer multi-linguage model where case is maintained. |
 
-### Example Usage
+## Example Usage
 ```python
 import keras
 import keras_hub