rnyak

@shamanez thanks for the question. If you want to print out the model architecture you can simply run `model` in a jupyter notebook cell.

closing due to no recent activities.

@brictobrick you can refer to this issue to see an example of binary classification task: https://github.com/NVIDIA-Merlin/Transformers4Rec/issues/405 For the error `IndexError: too many indices for tensor of dimension 1` . Are...

@brictobrick is the conversation above solving your issue? if yes, can we close this? thanks.

@alexanderDoria thanks for your question. We do not have same set of instructions or similar exists for Transformers4Rec. Did you get any issues with option 2 (modify the docker file)?...

@jacobdineen thanks for more context. I guess your answer to Gabriel's question `Do you need multi-GPU training but prefer a simpler training loop (like we have for Model.fit()) rather than...

> My team and I will try to write a custom train loop for the keras-style PyTorch API. @jacobdineen what's the current status with your custom work? I understand, `DistributedDataParallel`...

> [This](https://discuss.pytorch.org/t/dataparallel-doesnt-work-when-calling-model-module-some-attribute/47556/6) is a pretty good example of the issue Thanks for more context.

@gaceladri you will be able to generate Schema file from NVTabular workflow yes. There is an open PR for that and will be merged soon. We will create also example...

> Perfect. My concern was trying to reproduce a more complicated example that the ones that are up-to-date (v0.7.1) on the examples. I was trying to reproduce [the example on...