model-deployment
CommunityPackage models for production deployment.
Authorgizix
Version1.0.0
Installs0
System Documentation
What problem does it solve?
This Skill guides packaging, versioning, API wrapping, and monitoring for machine learning models transitioning from notebook experiments to production.
Core Features & Use Cases
- Model Serialization & Versioning: Save models with metadata and versioning.
- Deployment Formats: Export to pickle, joblib, or ONNX for cross-platform use.
- Serving & Monitoring: Quick patterns for FastAPI or FastAPI-based serving with health checks.
Quick Start
Save a trained sklearn model with version metadata and expose a minimal FastAPI endpoint for predictions.
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: model-deployment Download link: https://github.com/gizix/cc_projects/archive/main.zip#model-deployment Please download this .zip file, extract it, and install it in the .claude/skills/ directory.