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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 ➔ Optimizing Model Performance with Accelerate

Optimizing Model Performance with Accelerate

Last updated July 1, 2024

Introduction: The Hugging Face Accelerate library allows you to train and deploy models efficiently on various hardware setups, including multiple GPUs and TPUs. This guide provides steps to optimize your model performance using Accelerate.

Steps:

  1. Install Accelerate
  • Ensure the library is installed pip install accelerate

2.Set Up Your Training Environment

  • Configuration accelerate config

3.Modify Your Training Script

  • Import and Initialize Accelerator from accelerate import Accelerator accelerator = Accelerator()

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