Update README.md with new model card content

README.md

@@ -13,9 +13,11 @@ Weights are released under the [3-Clause BSD License](https://github.com/liuzhua
 
 ## Links
 
-* [DenseNet Quickstart Notebook: coming soon]()
+* [DenseNet Quickstart Notebook](https://www.kaggle.com/code/prasadsachin/densenet-quick-start-keras-hub)
 * [DenseNet API Documentation](https://keras.io/api/keras_hub/models/densnet/)
 * [DenseNet Model Card](https://github.com/liuzhuang13/DenseNet)
+* [KerasHub Beginner Guide](https://keras.io/guides/keras_hub/getting_started/)
+* [KerasHub Model Publishing Guide](https://keras.io/guides/keras_hub/upload/)
 
 ## Installation
 
@@ -23,7 +25,7 @@ Keras and KerasHub can be installed with:
 
 ```
 pip install -U -q keras-hub
-pip install -U -q keras>=3
+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.
@@ -55,7 +57,7 @@ model(input_data)
 # Use densenet for image classification task
 model = keras_hub.models.ImageClassifier.from_preset("densenet_201_imagenet")
 
-# User Timm presets directly from HuggingFace
+# Use Timm presets directly from HuggingFace
 model = keras_hub.models.ImageClassifier.from_preset('hf://timm/densenet121.tv_in1k')
 ```
 
@@ -77,6 +79,6 @@ model(input_data)
 # Use densenet for image classification task
 model = keras_hub.models.ImageClassifier.from_preset("hf://keras/densenet_201_imagenet")
 
-# User Timm presets directly from HuggingFace
+# Use Timm presets directly from HuggingFace
 model = keras_hub.models.ImageClassifier.from_preset('hf://timm/densenet121.tv_in1k')
 ```