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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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# ❓ Questions & Help ## Details Hi all, I am trying to understand the model output and how its converted into `top_k` items using the function provided [here](https://github.com/NVIDIA-Merlin/Transformers4Rec/blob/main/transformers4rec/torch/utils/examples_utils.py) ```...

status/needs-triage

### Bug description In the example [here](https://github.com/NVIDIA-Merlin/Transformers4Rec/tree/main/examples/end-to-end-session-based) (using the Tensorflow approach), after we perform ETL with NVTabular, train the model with Tensorflow, and deploy it into Triton Server, there is...

bug
P2

# 🚀 Feature request There is an open [issue](https://github.com/NVIDIA-Merlin/Transformers4Rec/issues/28 ) reporting that the NVT PyT data-loader is not correctly supporting `torch.nn.parallel.DistributedDataParallel`. This feature is to expose the missing option in...

Multi-GPU
P1
area/pytorch

### Bug description Using a single k as `top_ks` parameter to a metric like e.g. `RecallAt(top_ks=[4])` leads to a `TypeError: iteration over a 0-d tensor` when `zip(metric, topks[name])` is run...

bug
P2
s3

# ❓ Questions & Help ## Details Hello! My team is using T4Rec w/ a BinaryClassificationTask Head. We are utilizing the recommended class method `model.fit()` rather than the trainer class....

P0

# ❓ Questions & Help I'm looking for people's experience in training different LM architectures from scratch on different datasets. ## Details What dataset + Language model did you use?...

question

# ❓ Questions & Help ## Details In the current examples, Transformers4Rec takes the sequential interactions in a session to predict the next item. Can we use this framework for...

question
status/needs-triage
P2

Thank you for the amazing work! I have a following use case: 1. After applying the groupby operation of nvtabular, I have the following in my workflow Col1 ; Col2...

status/needs-triage

Similar HuggingFace Transformers is there a way to import model architectures and explore them. from transformers import BertModel, BertConfig ``` # Initializing a BERT bert-base-uncased style configuration configuration = BertConfig()...

question