Model Deployment · seb1n/awesome-ai-agent-skills
Deploy a trained ML model as a production API service
Packages a trained machine learning model into a REST API with FastAPI or Flask, containerizes it with Docker, and sets up Kubernetes or serverless deployment with health checks, logging, and monitoring for production use.
Good for
- Wrap a trained model in a FastAPI service
- Write a Dockerfile for a model-serving container
- Draft Kubernetes manifests with health checks and autoscaling
- Source repository
- seb1n/awesome-ai-agent-skills
- Category
- Coding
Open-source skills are maintained by their authors and listed as published, with attribution. Results depend on how well the skill fits your task and material.
A good place to start
Package my trained PyTorch model into a FastAPI service, containerize it with Docker, and write Kubernetes deployment manifests.
Make your next great thing.
Bring a question, a file, or an idea that’s not quite there yet.