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Advanced Topics
This category is for more experienced users looking to dive deeper into specific aspects of Hugging Face. It covers advanced topics such as optimizing model performance, using Hugging Face with different cloud services, and integrating with enterprise solutions.
Help Center ➔ Advanced Topics ➔ Integrating Hugging Face with AWS and Other Cloud Services

Integrating Hugging Face with AWS and Other Cloud Services

Last updated July 1, 2024

Introduction: Integrating Hugging Face models with cloud services like AWS enables scalable and efficient deployment of machine learning models. This guide outlines the steps to integrate Hugging Face with AWS.

Steps:

  1. Set Up AWS Environment
  • Create an AWS Account: Sign up for an  AWS account .
  • Configure AWS CLI aws configure

2.Launch an EC2 Instance

  • Choose an AMI: Select an Amazon Machine Image (AMI) that suits your needs, such as a Deep Learning AMI.
  • Configure Instance: Choose the instance type, configure instance details, and add storage as needed.
  • Launch and Connect: Launch the instance and connect via SSH.

3.Install Required Libraries

  • Set Up Python Environment

sudo apt-get update sudo apt-get install python3- pip pip3 install transformers torch

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