Packs
1 packResults for “sage”
5 skillshf-cloud-sagemaker-iam-preflight
Discovers, validates, or creates a SageMaker execution role before deploying or training, preventing IAM-related deployment failures.
10.8k · bundle
hf-cloud-sagemaker-production-defaults
Creates SageMaker endpoints (real-time or async) with autoscaling, CloudWatch alarms, and tagging enabled by default, then smoke-tests them before declaring success.
10.8k · bundle
More results
hf-cloud-sagemaker-deployment-planner
Plans and coordinates the deployment of a model to Amazon SageMaker AI, selecting the appropriate pathway (real-time, serverless, async, batch, or Bedrock CMI) based on model type, traffic, latency, and cost constraints.
10.8k
hf-cloud-serving-image-selection
Selects the correct SageMaker serving container image URI for HuggingFace model deployments, prioritizing HuggingFace-curated Deep Learning Containers over generic alternatives.
10.8k · bundle
hf-cloud-python-env-setup
Sets up an isolated Python environment for SageMaker and AWS work, pinning Python version and installing current boto3/awscli to avoid dependency conflicts and stale SDKs.
10.8k · bundle