In today’s fast-paced machine learning landscape, deploying AI models is just as important as developing them. In this blog post, we are going to walk through an image segmentation application using Google’s PaliGemma 2 Mix model and transformers, containerized with Docker, and served through a FastAPI backend. We are also going to discuss the CI/CD pipeline using GitHub Actions to automate building the Docker image and pushing it to Docker Hub. Let’s explore this service, why we chose these technologies, and how you can get started and use the service yourself!