microsoft / microsoft/TransformerCompression
model inference
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- Dominant language
- Python
- Stars
- 460
- Forks
- 58
- Avg merge
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- Merged PRs (30d)
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Description
Hi, could you provide an example of how to perform inference using a sliced model?
Contributor guide
No contributing guide indexed for this repository
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
The issue names no file, test, or entry point. Start by locating the sliced-model implementation and any existing inference examples, then verify the documented example against the repository's current model API. Done means a clear, runnable example of inference with a sliced model is added.
Written by the indexing model from the issue text.
Assessment
- Tech stack
- python
- Domain
- documentation, machine-learning
- Issue type
- Documentation
- Difficulty
- 2/5
- Estimated time
- 1-3 hours
- Activity status
- Stale
- Clarity
- Mostly clear
- Newbie friendliness
- 35/100