Update README.md with new model card content

README.md

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 library_name: keras-hub
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-This is a [`EfficientNet` model](https://keras.io/api/keras_hub/models/efficient_net) uploaded using the KerasHub library and can be used with JAX, TensorFlow, and PyTorch backends.
-This model is related to a `ImageClassifier` task.
+### Model Overview
 
-Model config:
-* **name:** efficient_net_backbone
-* **trainable:** True
-* **width_coefficient:** 1.2
-* **depth_coefficient:** 1.4
-* **dropout:** 0
-* **depth_divisor:** 8
-* **min_depth:** None
-* **activation:** swish
-* **input_shape:** [None, None, 3]
-* **stackwise_kernel_sizes:** [3, 3, 5, 3, 5, 5, 3]
-* **stackwise_num_repeats:** [1, 2, 2, 3, 3, 4, 1]
-* **stackwise_input_filters:** [32, 16, 24, 40, 80, 112, 192]
-* **stackwise_output_filters:** [16, 24, 40, 80, 112, 192, 320]
-* **stackwise_expansion_ratios:** [1, 6, 6, 6, 6, 6, 6]
-* **stackwise_squeeze_and_excite_ratios:** [0.25, 0.25, 0.25, 0.25, 0.25, 0.25, 0.25]
-* **stackwise_strides:** [1, 2, 2, 2, 1, 2, 1]
-* **stackwise_block_types:** ['v1', 'v1', 'v1', 'v1', 'v1', 'v1', 'v1']
-* **include_stem_padding:** True
-* **use_depth_divisor_as_min_depth:** True
-* **cap_round_filter_decrease:** True
-* **stem_conv_padding:** valid
-* **batch_norm_momentum:** 0.9
-* **batch_norm_epsilon:** 1e-05
-* **projection_activation:** None
 
-This model card has been generated automatically and should be completed by the model author. See [Model Cards documentation](https://huggingface.co/docs/hub/model-cards) for more information.