Update README.md

Added usage instructions to load the model from the Hub.

README.md

@@ -36,6 +36,10 @@ Link to the run: https://wandb.ai/jorgvt/PerceptNet/runs/28m2cnzj?workspace=user
 
 # Usage
 
+There are two alternatives to use the model: install our development repo and load the pretrained weights manually, and load the model using `from_pretrained_keras`:
+
+## Loading weights manually
+
 As of now to use the model you have to install the [PerceptNet repo](https://github.com/Jorgvt/perceptnet) to get access to the `PerceptNet` class where you will load the weights available here like this:
 
 ```python
@@ -49,4 +53,15 @@ model.build(input_shape=(None, 384, 512, 3))
 model.load_weights(weights_path)                        
 ```
 
-> PerceptNet requires `wandb` to be installed. It's something we're looking into.
+> PerceptNet requires `wandb` to be installed. It's something we're looking into.
+
+## Directly from the Hub
+
+As every other *Keras* model in the Hub, it can be loaded as follows:
+
+```python
+from huggingface_hub import from_pretrained_keras
+model = from_pretrained_keras("Jorgvt/PerceptNet", compile=False)
+```
+
+> Keep in mind that the model uses grouped convolutions and, at least in Colab, `Unimplemented Errors` may arise when using it in CPU.