Custom Model Deployer Documentation

[runllm-pr-agent]

Changes Made

• docs/book/component-guide/model-deployers/README.md
  • #### Model Deployers FlavorsZenML c... --> #### Model Deployers FlavorsZenML c...: The documentation needs to be updated to include a detailed guide on creating custom model deployers, specifically for AWS SageMaker, as requested by the user. This includes an overview of the BaseModelDeployer class, step-by-step instructions for creating a custom deployer, and guidance on implementing required methods and registering the deployer using the ZenML CLI.
• docs/book/component-guide/model-deployers/custom.md
  • # Develop a Custom Model Deployer{%... --> # Develop a Custom Model Deployer{%...: The documentation needs to be expanded to include a detailed guide on creating custom model deployers, specifically for AWS SageMaker. This includes an overview of the BaseModelDeployer class, step-by-step instructions on creating a custom deployer, implementing required methods, and registering the deployer using the ZenML CLI. This addition will help users extend ZenML's deployment capabilities to fit their specific cloud service requirements.
• docs/book/component-guide/model-deployers/custom.md
  • ### Building your own model deploye... --> ### Building your own model deploye...: The documentation needs to include detailed guidance on creating custom model deployers, specifically for AWS SageMaker, as requested by the user. This includes implementing abstract methods and registering the deployer using the ZenML CLI, as well as adding the custom deployer to a ZenML stack.
• docs/book/component-guide/model-deployers/README.md
  • in order to interact with the model... --> in order to interact with the model...: Added an example of registering a custom model deployer for AWS SageMaker to guide users on how to extend ZenML's deployment capabilities to AWS.
  • #### The role that a model deployer... --> #### The role that a model deployer...: Included AWS SageMaker as an example of a custom model deployer to demonstrate how users can register and use their own deployers in a ZenML stack.
  • *** Lifecycle Management: Provides me... --> * Lifecycle Management: Provides me...**: Updated method names to match the abstract methods in the BaseModelDeployer class, providing clarity on the implementation requirements for custom model deployers.

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