Update README.md

README.md

@@ -33,4 +33,18 @@ model_index:
 
 PercepNet model trained on TID2008 and validated on TID2013, obtaining 0.97 and 0.93 Pearson Correlation respectively.
 
-Link to the run: https://wandb.ai/jorgvt/PerceptNet/runs/28m2cnzj?workspace=user-jorgvt
+Link to the run: https://wandb.ai/jorgvt/PerceptNet/runs/28m2cnzj?workspace=user-jorgvt
+
+# Usage
+
+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
+from perceptnet.networks import PerceptNet
+
+weights_path = get_file(fname='perceptnet_rgb.h5',
+                        origin='https://huggingface.co/Jorgvt/PerceptNet/blob/main/final_model_rgb.h5')
+model = PerceptNet(kernel_initializer='ones', gdn_kernel_size=1, learnable_undersampling=False)
+model.build(input_shape=(None, 384, 512, 3))
+model.load_weights(weights_path)                        
+```