---
title: "Deploy BigScience T0_3B to AWS & Amazon SageMaker"
url: https://daily.dev/posts/deploy-bigscience-t0-3b-to-aws-amazon-sagemaker-1tzuxxc2z
source_url: https://www.philschmid.de/deploy-bigscience-t0-3b-to-aws-and-amazon-sagemaker
type: article
source: "Philipp Schmid"
published: 2026-05-31T07:40:59.280Z
updated: 2026-05-31T08:24:56.112Z
tags: ["machine-learning", "aws", "llm"]
reading_time: 4
upvotes: 0
comments: 0
language: en
---

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# Deploy BigScience T0_3B to AWS & Amazon SageMaker

**[Philipp Schmid](https://daily.dev/sources/philschmid)** · 4 min read · 0 upvotes · 0 comments

## Summary

BigScience released T0*, an encoder-decoder model series that outperforms GPT-3 on many zero-shot tasks while being 16x smaller. This tutorial walks through deploying the 3B parameter version (T0_3B) to Amazon SageMaker using the Hugging Face SageMaker SDK. Steps include setting up a SageMaker Notebook Instance, defining HF_MODEL_ID and HF_TASK environment variables, deploying to an ml.g4dn.2xlarge instance, and running inference via HuggingFacePredictor.

## Full article

daily.dev links to this article rather than hosting it. Read it at the original source: <https://www.philschmid.de/deploy-bigscience-t0-3b-to-aws-and-amazon-sagemaker>

---

Tags: [#machine-learning](https://daily.dev/tags/machine-learning), [#aws](https://daily.dev/tags/aws), [#llm](https://daily.dev/tags/llm)

[View this post on daily.dev](https://daily.dev/posts/deploy-bigscience-t0-3b-to-aws-amazon-sagemaker-1tzuxxc2z)