AI Studio
  • AI Studio Guide
  • AI Studio Basics
    • About AI Studio
      • AI Studio Feature Guide
      • Problem Statements
      • Platform Use Cases
    • Key Terminology to Know
  • Building Your First Project
    • Image Tagging
  • Detailed Guide: Image Tagging
    • Your Data
      • Supported Formats & Image Specifications
      • Exploring Datasets
        • Creating New Datasets
        • Adding Data
        • Removing Data
      • Pre-Processing Results
    • Creating and Training Models
      • Training Basics
    • Evaluating Models
      • Default Evaluation Dataset
      • Interpreting Evaluation
        • Interpreting results
      • Improving Your Model
    • Inference
    • Deployment
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  • API
  • Download Model
  • Archive Model

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  1. Detailed Guide: Image Tagging

Deployment

The AI Studio platform offers several useful methods to deploy the trained Image Tagging model in the production environment.

To deploy a trained and iterated model, go to the Models Page of your Image Tagging Project. Choose the model from the list at the bottom of the page by clicking on View Info. You will be redirected to the deployment page. After you have tested the model and are ready to deploy it, choose your deployment method.

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API

Users can create an API for the trained model and deploy it.

Download Model

Users can download their Image Tagging models and deploy them into production.

Archive Model

The AI Studio platform allows users to archive models they do not wish to use.

PreviousInference

Last updated 3 years ago

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