facebookresearch / facebookresearch/segment-anything
how to shrink the model down to 100M while maintaining similar performance.
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question
- Dominant language
- Jupyter Notebook
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Description
how to shrink the model down to 100M while maintaining similar performance. thans
Contributor guide
Research direction
The issue names no file, test, or entry point. Start by reviewing the model and trained-checkpoint material in the repository, then establish how the 100M size and similar-performance targets will be measured; done requires a reproducible approach that addresses both targets.
Written by the indexing model from the issue text.
Assessment
- Tech stack
- jupyter-notebook
- Domain
- machine-learning, performance
- Issue type
- Feature
- Difficulty
- 5/5
- Estimated time
- Over a week
- Activity status
- Stale
- Clarity
- Needs clarification
- Newbie friendliness
- 20/100