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
 FNet is a set of language models published by Google as part of the paper [FNet: Mixing Tokens with Fourier Transforms](https://arxiv.org/abs/2105.03824). FNet replaces the self-attention of BERT with an unparameterized fourier transform, dramatically lowering the number of trainable parameters in the model. FNet achieves training at 92-97% accuracy of BERT counterparts on GLUE benchmark, with faster training and much smaller saved checkpoints.
 
 Weights and Keras model code are released under the [Apache 2 License](https://github.com/keras-team/keras-hub/blob/master/LICENSE).
@@ -34,7 +34,7 @@ The following model checkpoints are provided by the Keras team. Full code exampl
 | `f_net_base_en`  | 82.86M     | 12-layer FNet model where case is maintained. |
 | `f_net_large_en` | 236.95M    | 24-layer FNet model where case is maintained. |
 
-### Example Usage
+## Example Usage
 ```python
 import keras
 import keras_hub