Hey! I finally had time to work on it a bit. Code for version 2 is factorized into modules , there’s a new cleaner notebook for that (https://github.com/anhquan0412/fastai-tabular-text-demo/blob/master/mercari-tabular-text-version-2-complete.ipynb) and the repo is updated. Also I have added the predict_one_item function for version 2: All you need is to provide a series with column names (like the output of df.loc[some_index]) and it will spit out the prediction and raw_prediction. Haven’t tried it on classification task yet, so give it a go and let me know if it works!
And about the export function, I am not sure what the purpose of that function: do you want to save the model so that you can load it somewhere? Is it somewhat similar to ‘model.save()’ ?