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Parent topic: Using FunctionGraph to Deploy Stable Diffusion for AI Drawing
Workflow Development Configuring Workflow Parameters Configuring the Input and Output Paths of a Workflow Creating Workflow Phases Creating a Multi-Branch Workflow Creating a Workflow Publishing a Workflow Advanced Workflow Capabilities Parent topic: Using Workflows for Low-Code AI
Installing ma-cli Locally Autocompletion for ma-cli Commands ma-cli Authentication ma-cli image Commands for Building Images ma-cli ma-job Commands for Training Jobs ma-cli dli-job Commands for Submitting DLI Spark Jobs Using ma-cli to Copy OBS Data Parent topic: Using Notebook for AI
Parent topic: Deploying an AI Application as a Service
Can I apply for a refund for the AI platform consulting and planning service during delivery? Refunds are not supported in delivery. Parent topic: About Service Delivery
Viewing the Word Frequency The word frequency display function is used to collect statistics on hot words generated during calls after AI inspection is complete. Procedure Sign in to the AICC as a tenant administrator and choose Speech Text Analysis > Word Frequency Display.
Creating a Model Registration Phase Description This phase integrates capabilities of ModelArts AI application management. This enables trained models to be registered in AI Application Management for service deployment and update.
Figure 5 Notebook Job Definitions tab Figure 6 Configuring a scheduled job Parent topic: Using a Notebook Instance for AI Development Through JupyterLab
Creating a Training Job Create a ModelArts training job based on the SFS Turbo shared file storage. Log in to the ModelArts console. In the navigation pane, choose Training Management > Training Jobs. Click Create Training Job in the upper right corner. On the displayed page, set
Searching for a Workflow Procedure On the workflow list page, you can use the search box to quickly search for workflows based on workflow properties. Log in to the ModelArts console. In the navigation pane, choose Development Workspace > Workflow. In the search box above the workflow
Managing a Workflow Starting a Workflow Log in to the ModelArts console. In the navigation pane, choose Development Workspace > Workflow. You can run a workflow in any of the following ways: On the workflow list page, click Start in the Operation column. In the displayed dialog box
Creating Resources This best practice uses a VPC, an SFS Turbo HPC file system, an OBS bucket, and a ModelArts resource pool. To achieve optimal acceleration performance, you are advised to select the same region and AZ for the SFS Turbo HPC file system and ModelArts resource pool
Basic Configurations Configuring Network Passthrough Between ModelArts and SFS Turbo Configuring SFS Turbo and OBS Interworking Configuring Auto Data Export from SFS Turbo to OBS Configuring the SFS Turbo Data Eviction Policy Parent topic: Implementation Procedure
Publishing a Workflow Publishing a Workflow to ModelArts Publishing a Workflow to AI Gallery Parent topic: Workflow Development Command Reference
Performing Text and Speech Analysis Configuring Text Analysis Searching for Inspection Results Based on Keywords Viewing the Word Frequency Collecting Text Analysis Indicator Statistics Configuring Custom Indicators Managing Indicator Categories Parent topic: Managing AI Inspections
MoXing Commands in a Notebook Instance MoXing Framework Functions Using MoXing in Notebook Introducing MoXing Framework Mapping Between mox.file and Local APIs and Switchover Sample Code for Common Operations Sample Code for Advanced MoXing Usage Parent topic: Using Notebook for AI
Figure 3 Clicking SHUT DOWN to stop an instance Parent topic: Using a Notebook Instance for AI Development Through JupyterLab
In the navigation pane on the left, choose AI Dedicated Resource Pools > Elastic Clusters. On the displayed page, configure the container engine size as needed. For details, see Resizing a Dedicated Resource Pool. If the fault persists, contact technical support.
Parent topic: Using Notebook for AI Development and Debugging
Creating a Training Job Create a ModelArts training job based on the SFS Turbo shared file storage. Log in to the ModelArts console. In the navigation pane, choose Training Management > Training Jobs. Click Create Training Job in the upper right corner. On the displayed page, set
