ondevice-ml
CommunityOn-device ML for private NLP, Vision, and Audio.
AuthorMaduixa
Version1.0.0
Installs0
System Documentation
What problem does it solve?
Privacy-preserving on-device ML pipelines enable inference without sending user data to external services by leveraging Core ML for NLP, Vision, and SoundAnalysis tasks, reducing data exposure and regulatory risk.
Core Features & Use Cases
- On-device Core ML integration for NLP, Vision, and SoundAnalysis pipelines.
- Privacy and compliance guardrails to govern data handling and offline operation.
- Deployment-ready structure with Load/Output guidance and Swift/SwiftPM compatibility.
Quick Start
Run a sample on-device Core ML pipeline to validate NLP, Vision, and SoundAnalysis workflows offline.
Dependency Matrix
Required Modules
None requiredComponents
Standard package💻 Claude Code Installation
Recommended: Let Claude install automatically. Simply copy and paste the text below to Claude Code.
Please help me install this Skill: Name: ondevice-ml Download link: https://github.com/Maduixa/Glasstic/archive/main.zip#ondevice-ml Please download this .zip file, extract it, and install it in the .claude/skills/ directory.
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