Collaberative filtering inference learn.get_preds()

So for the last two days I spent hours scratching my head on the best way to get inference from a trained collaberative filtering model from the MovieLense chapter 7 & chapter 8(videos) example. I was about to ask here on the forums when I found the answer in the Lesson 5 Titanic video. The key is to use these two lines once you’ve trained your model:

tst_dl = learn.dls.test_dl(tst_df)
preds,_ = learn.get_preds(dl=tst_dl)

I added a few of my own movie reviews as I was inspired by this post from fastai 1.

here is the code I actually used:'movie_predictor_large_ds_01')

tst_dl = learn.dls.test_dl(ratings)
ratings['rating_preds'] = preds


I hop this helps someone else and saves them all the hours it took me. cheers!