data-labeling
claudeData labeling: annotation guidelines, platforms, inter-annotator agreement, active learning, weak supervision, and label error detection.
1 skill · 1 command · 1 agent
0
claude
model-deployment
Model deployment: ONNX export, BentoML, TorchServe, Triton, FastAPI serving, dynamic batching, and canary rollouts.
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Plugin model-deployment from marketplace libre-mlops in HermeticOrmus/LibreMLOps-Claude-Code. Commands read from the repo's manifest — 1 month ago.
What it installs
Skills (1)
model-deployment-patternsModel serving patterns with code: production FastAPI serving, the Triton model repository layout, ONNX export with validation, canary deployment on Kubernetes, and load testing with Locust. Use when serving a model in production.
Slash commands (1)
/model-deployment:deploy-modelExport and containerize a model, generate FastAPI or Triton serving configuration, tune batching and resources, or configure a canary rollout.
Subagents (1)
ml-deploy-engineerUse this agent when putting a model into production: exporting to ONNX, serving with BentoML, TorchServe, Triton Inference Server, or FastAPI, tuning dynamic batching, and rolling out with A/B or canary traffic splits. It weighs latency, throughput, and cost, and keeps every rollout reversible.
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