NVIDIA-Merlin / NVIDIA-Merlin/Transformers4Rec
[QST] Install Transformers4Rec on Databricks
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Description
❓ Questions & Help
Details
I was able to follow the tutorial for installing NVTabular on Databricks, and I was wondering if the same set of instructions or similar exists for Transformers4Rec. Seems like there are a couple of approaches for installing Transformers4Rec on Databricks:
- Build the NVTabular Databricks Docker image and
conda install -c nvidia transformers4recwithin a notebook - Modify the Dockerfile to download Transformers4Rec, in the same way that NVTabular is in README by
echo "https://conda.anaconda.org/nvidia/linux-64/nvtabular-0.6.1-py38_0.tar.bz2" >> docker/rapids-spec.txt
I tried approach #1 but had incompatible library issues, and I'm currently trying out option #2. However, I'm concerned with incompatibility issues between Transformers4Rec, NVTabular, and even the Databricks runtime -- so I'm wondering if there's an "ideal" way to use a Transformers4Rec Docker image on Databricks.
Contributor guide
First steps
- Read the whole issue, then the project's contributing guide.
- Comment on the issue to say you are picking it up — it saves two people doing the same work.
- Fork the repository and make your change on a branch.
- Open a pull request that references the issue number.
Research direction
Start with the linked NVTabular Databricks guide, the Docker instructions in README, and docker/rapids-spec.txt. Compare the proposed installation approaches and identify the compatibility constraints involving Transformers4Rec, NVTabular, and the Databricks runtime. Done means documenting a supported installation path and its required versions.
Written by the indexing model from the issue text.
Assessment
- Tech stack
- docker, python, pytorch
- Domain
- cloud, devops, documentation
- Issue type
- Documentation
- Difficulty
- 4/5
- Estimated time
- 3-5 days
- Activity status
- Stale
- Clarity
- Needs clarification
- Newbie friendliness
- 25/100