Update README.md

README.md

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 This model is built on the efficientnet_b2 architecture.
 The model uses pretrained weights of the model found in the torchvision.models library.
 The classification head was changed, to be a dropout layer, followed by a linear layer with 6 target classes.  
-Using transfer learning, the model was then trained on the [intel image dataset.](https://www.kaggle.com/datasets/puneet6060/intel-image-classification)
+Using transfer learning, the model was then trained on the [intel image dataset.](https://www.kaggle.com/datasets/puneet6060/intel-image-classification)  
+See the corresponding [hugging face space](https://huggingface.co/spaces/richardschattner/scenery_classification) for a live demo of the model.
 
 #### Performance
 The model achieved a test accuracy of 89,67%.