NVIDIA-Merlin / NVIDIA-Merlin/Transformers4Rec
[QST] Edge compute using Transform4rec models with ONNX runtime
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- Dominant language
- Python
- Stars
- 1.3k
- Forks
- 165
- Avg merge
- 1m
- Merged PRs (30d)
- 2
Description
❓ 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 interested to collaborate.
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
No file, test, or entry point is named. First clarify the target edge environment and the expected ONNX Runtime workflow, then review the repository's existing model export and inference documentation before documenting a validated Transform4Rec path.
Written by the indexing model from the issue text.
Assessment
- Tech stack
- python, pytorch
- Domain
- machine-learning
- Issue type
- Documentation
- Difficulty
- 5/5
- Estimated time
- Over a week
- Activity status
- Stale
- Clarity
- Needs clarification
- Newbie friendliness
- 20/100