Philipp Schmid • 5/17/2022

An Amazon SageMaker Inference comparison with Hugging Face Transformers

Read Original

This technical article provides a detailed comparison of Amazon SageMaker's four inference deployment options: Real-Time, Batch Transform, Asynchronous, and Serverless. It explains their characteristics in latency, execution period, payload size, and pricing, and includes practical examples for deploying Hugging Face Transformers models with each method.

0 comments
#Machine Learning #Transformers #Hugging Face
An Amazon SageMaker Inference comparison with Hugging Face Transformers

Comments

No comments yet

Be the first to share your thoughts!

Browser Extension

Get instant access to AllDevBlogs from your browser

Top of the Week

1
React, useEffect, and Stale Closures: How to Avoid Them with Dependencies and useRef
Jivbcoop • 4 votes
2
Better react-hook-form Smart Form Components
Maarten Hus • 2 votes
3
AGI, ASI, A*I – Do we have all we need to get there?
John D. Cook • 1 votes
4
Quoting Thariq Shihipar
Simon Willison • 1 votes
5
Dew Drop – January 15, 2026 (#4583)
Alvin Ashcraft • 1 votes
6
Using Browser Apis In React Practical Guide
Jivbcoop • 1 votes