AWS SageMaker

Collaborative and visual infrastructure as code for AWS SageMaker

Components ( 25 )

field-export

field-export

adopted-resource

adopted-resource

app

app

model-explainability-job-definition

model-explainability-job-definition

data-quality-job-definition

data-quality-job-definition

domain

domain

endpoint

endpoint

model

model

endpoint-config

endpoint-config

feature-group

feature-group

hyper-parameter-tuning-job

hyper-parameter-tuning-job

model-bias-job-definition

model-bias-job-definition

model-package

model-package

model-package-group

model-package-group

model-quality-job-definition

model-quality-job-definition

monitoring-schedule

monitoring-schedule

notebook-instance

notebook-instance

notebook-instance-lifecycle-config

notebook-instance-lifecycle-config

pipeline

pipeline

pipeline-execution

pipeline-execution

processing-job

processing-job

training-job

training-job

transform-job

transform-job

user-profile

user-profile

inference-component

inference-component

What are Meshery Models?

Meshery Models are foundational components within Meshery, a cloud-native management plane that facilitates the management of multi-cloud and cloud-native applications and infrastructure.

Learn more about Meshery Models

How to use the Meshery Registry

The Meshery Registry is a critical component acting as the central repository for all capabilities known to Meshery.

Using Meshery CLI

To register a model using the Meshery CLI, you can use the mesheryctl command to import a model from a specified path:

mesheryctl model import -f <path-to-model> 

Using Meshery UI

You can also register a model through the Meshery UI:

  • Navigate to the Settings β†’ Registry page.
  • Click the "Import" button.
  • Select the model you want to import.
Learn more about Meshery Registry

Related Models

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