In Natural Language Processing (NLP), Hugging Face models have become the go-to resource for developers and data scientists due to their robust capabilities and ease of use. Deploying these models in a production environment requires a scalable and cost-effective solution. Enter Amazon SageMaker, AWS’s fully managed service that allows you to deploy machine learning models at scale. By combining SageMaker’s serverless endpoints with Terraform’s Infrastructure as Code (IaC) approach, you can create a seamless deployment pipeline for your Hugging Face models.
This podcast will walk you through deploying a Hugging Face model on Amazon SageMaker using Terraform. We’ll cover everything from setting up your AWS environment to provisioning a SageMaker Notebook, preparing your model, and deploying it to a serverless endpoint.
https://businesscompassllc.com/effortless-hugging-face-model-deployment-on-aws-with-terraform-and-serverless-sagemaker-endpoints/)
