hf-cloud-sagemaker-production-defaults

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产品介绍

'Create a SageMaker endpoint (real-time, real-time scale-to-zero, or async) with autoscaling, CloudWatch alarms, and tagging enabled by default. Use this skill whenever about to create a SageMaker endpoint, write deployment code that calls `create_endpoint`, or finalize a deployment after the image URI and IAM role are known. Provides deploy.py for real-time endpoints, deploy_ic.py for real-time endpoints that scale to zero instances via inference components, and deploy_async.py for async endpoints (also scale-to-zero). This is the last step in the SageMaker deployment workflow. Never generate a bare `create_endpoint` call without these defaults — endpoints without autoscaling or alarms are demos, not deployments.'

资源信息

许可证信息摘自官方源，可能过时或缺失。商用前请以原仓库的 LICENSE 文件为准。

功能说明

• •What gets created
• •Running the deployment
• •Testing a real-time endpoint
• •The UTF-8 BOM gotcha (Windows)
• •Invoking a generative reranker (vLLM)
• •Picking the image URI
• •Scale to zero for real-time endpoints
• •How it differs from deploy.py

适用平台