Deploying 🤗 ViT on Kubernetes with TF Serving
Hugging Face has published a guide to deploying the Vision Transformer (ViT) model, also known as 🤗 ViT, on Kubernetes using TensorFlow Serving. The guide covers setting up a TensorFlow model server and deploying it on a Kubernetes cluster. This allows users to serve their machine learning models in a scalable and containerized way.
Hugging Face has published a guide to deploying the Vision Transformer (ViT) model, also known as 🤗 ViT, on Kubernetes using TensorFlow Serving. The guide covers setting up a TensorFlow model server and deploying it on a Kubernetes cluster. This allows users to serve their machine learning models in a scalable and containerized way.
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Why it matters: This matters because it enables developers to deploy AI models like ViT more efficiently and at scale, which is crucial for real-world applications such as image classification and object detection.
Source: https://huggingface.co/blog/deploy-tfserving-kubernetes
This article was originally published at: https://huggingface.co/blog/deploy-tfserving-kubernetes