Deploying 🤗 ViT on Kubernetes with TF Serving

This post details the deployment of Vision Transformer (ViT) models on Kubernetes using TensorFlow Serving. It provides a concrete example of how to containerize a ViT model and deploy it as a service within a Kubernetes cluster, leveraging TF Serving for efficient inference. The post likely includes steps for creating Docker images, Kubernetes deployment manifests, and service configurations to enable scalable and accessible deployment of ViT models.