# Introducing the Hugging Face Embedding Container for Amazon SageMaker

DevFeed: [Introducing the Hugging Face Embedding Container for Amazon SageMaker](<https://devfeed.tech/articles/introducing-the-hugging-face-embedding-container-for-amazon-sagemaker-7464.md>)

Original publisher: [Read original article](<https://huggingface.co/blog/sagemaker-huggingface-embedding>)

Author: Philipp Schmid; Jeff Boudier

Published: 2024-06-07T00:00:00Z

Content type: tutorial

Language: en

Sources: [Hugging Face - Blog](<https://devfeed.tech/sources/hugging-face-blog.md>)

Topics: [model-deployment](<https://devfeed.tech/topics/model-deployment.md>), [Amazon SageMaker](<https://devfeed.tech/topics/amazon-sagemaker.md>), [Amazon Bedrock](<https://devfeed.tech/topics/amazon-bedrock.md>), [Inference](<https://devfeed.tech/topics/inference.md>), [Embeddings](<https://devfeed.tech/topics/embeddings.md>), [Transformers](<https://devfeed.tech/topics/transformers.md>), [sentence-transformers](<https://devfeed.tech/topics/sentence-transformers.md>), [AWS IAM](<https://devfeed.tech/topics/aws-iam.md>)

Tags: [amazon-sagemaker](<https://devfeed.tech/tags/amazon-sagemaker.md>), [aws](<https://devfeed.tech/tags/aws.md>), [batching](<https://devfeed.tech/tags/batching.md>), [cloud](<https://devfeed.tech/tags/cloud.md>), [container](<https://devfeed.tech/tags/container.md>), [embedding](<https://devfeed.tech/tags/embedding.md>), [embeddings](<https://devfeed.tech/tags/embeddings.md>), [gpu](<https://devfeed.tech/tags/gpu.md>), [guide](<https://devfeed.tech/tags/guide.md>), [hugging-face](<https://devfeed.tech/tags/hugging-face.md>), [inference](<https://devfeed.tech/tags/inference.md>), [partnership](<https://devfeed.tech/tags/partnership.md>), [prometheus](<https://devfeed.tech/tags/prometheus.md>), [sdk](<https://devfeed.tech/tags/sdk.md>), [sentence-transformers](<https://devfeed.tech/tags/sentence-transformers.md>), [telemetry](<https://devfeed.tech/tags/telemetry.md>), [tracing](<https://devfeed.tech/tags/tracing.md>)

## AI overview

This tutorial explains how to deploy open embedding models to Amazon SageMaker using the Hugging Face Embedding Container. It uses Text Embeddings Inference for efficient, production-ready serving and covers container selection, CPU and GPU variants, batching, and observability features.

## Source excerpt

We're on a journey to advance and democratize artificial intelligence through open source and open science.