Deploy AI Models on Amazon SageMaker using Pulumi Python IaC
Tired of the Complexity in Deploying #AI / #ML Models on #AWS #SageMaker? Follow this short tutorial to deploy a publicly available Meta AI LlaMa 2 based model from Hugging Face, on Amazon SageMaker. Then, we will test it with a natural language prompt using a short Python script.
👨💻Step-by-step instructions in #Python at https://www.pulumi.com/blog/mlops-hug...
▬▬▬▬▬▬ Requirements ▬▬▬▬▬▬
We’ve simplified the process so you can deploy models from @HuggingFace on @BuildOnAWS SageMaker with just a few commands, making your deployments fast and reliable.
► Pulumi CLI: https://www.pulumi.com/docs/install/
► Pulumi account. It's free: https://pulumip.us/Sign-Up-OpenSource
► Python 3 (3.11+): https://www.python.org/downloads/
► AWS CLI: https://docs.aws.amazon.com/cli/lates...
► AWS Credentials (pre-configured): https://docs.aws.amazon.com/cli/lates...
▬▬▬▬▬▬ Want to learn more? ▬▬▬▬▬▬
🎓 Register for live workshops and Q&A: https://pulumip.us/Upcoming-Workshops
🚀 Try Pulumi AI: https://www.pulumi.com/ai
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💬 Talk with us: https://slack.pulumi.com/