Deploying 🤗 ViT on Vertex AI
Hugging Face
A tutorial demonstrates how to deploy a Vision Transformers model on Google Cloud's Vertex AI platform using the google-cloud-aiplatform Python SDK. The deployment process involves four steps: uploading the model to Vertex AI's registry, creating an endpoint, configuring and deploying the model with specifications like machine type and GPU accelerators, and then making prediction requests through the endpoint. After successful deployment, Vertex AI provides built-in monitoring dashboards showing metrics like accelerator utilization and resource consumption, allowing operators to track performance and make adjustments without additional configuration.