Hello there,
I was reading an interesting blog on parsing addresses with training a recurrent neural network using pytorch:
  
      
      .Layer – 18 Nov 20
  
  
    

Training a Recurrent Neural Network (RNN) using PyTorch 9

Train an RNN for address parsing


  
  
    
    
  
  


In this blog there is a reference to a Google Colab Jupyter notebook.(https://colab.research.google.com/github/dot-layer/blog/blob/master/content/blog/2020-08-19-train-a-sequence-model-with-poutyne/article_notebook_colab.ipynb 7).
I want to predict the classes for a single address, on the trained model in the notebook, but I don’t know how. Help is very much appreciated!