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Transformers4Rec is a flexible and efficient library for sequential and session-based recommendation and works with PyTorch.

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We need to clarify in the documentation that PyT Trainer class cannot support BC and Regression. We should explain what users can use for these tasks instead of Trainer Class...

documentation
status/needs-triage

# 🚀 Feature request Add another argument in the trainer class to check if it the task is NextItemPred, otherwise it does have to return an error msg saying that...

status/needs-triage

# 🚀 Feature request ## Motivation ## Your contribution

enhancement
area/api

# ❓ Questions & Help While training the model we are taking multiple features which also includes 'item_id-list_seq', 'category-list_seq' as categorical features and 'product_recency_days_log_norm-list_seq', 'et_dayofweek_sin-list_seq' as continuous variables. As per...

question
area/examples

# ❓ Questions & Help ## Details Thanks for making this great library! I'd like to implement a model for binary classification task with Transformers4Rec, but I encountered some errors....

status/needs-triage

### Description The ETL's should be updated to showcase how to generate schema.pbtxt with NVTabular.

Is there a way for the library to handle very large sparse input, something with ? item_id: # 50 millions. session_id : 50 millions Usually, Rec are sparse data problem,...

status/needs-triage

Benchmark the new PyT data loader with the REES46 ecommerce dataset, using multiple GPUs Train set: All train.parquet files for 31 days (1 parquet file by week). P.s. Set row...

Multi-GPU

# ❓ Questions & Help ## Details I was wondering if there was a tutorial or a workflow for using Transform4rec models on edge compute using ONNX runtime? Would be...

status/needs-triage

### Bug description There Is an information leakage when training TF XLNet model using `mlm` task. The returned ranking metrics are close to 1. ![image](https://user-images.githubusercontent.com/17721108/142459306-63302032-5d68-4252-904b-6c2d635dd0f8.png) ### Steps/Code to reproduce bug...

bug
area/tensorflow
P1