update end-to-end example to use systems api

[radekosmulski]

resolves #676

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https://nvidia-merlin.github.io/Transformers4Rec/review/pr-680

[rnyak]

Line #2.    table = TensorTable.from_df(df.iloc[:100])

can you please add a new cell and add these two lines ( we need my PR to be merged first for the top_k part works ):

Let's now add a top_k parameter to model so that we can return the top k item ids with the highest scores when we serve the model on Triton Inference Server.

model.top_k = 28

model.eval()

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[rnyak]

Line #2. table = TensorTable.from_df(df.iloc[:100])
can you please add a new cell and add these two lines ( we need my PR to be merged first for the top_k part works ):

Let's now add a top_k parameter to model so that we can return the top k item ids with the highest scores when we serve the model on Triton Inference Server.

model.top_k = 28

model.eval()

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you can set top_k 10 or something else, if you want. I set it to 28 just as an example.