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:
- 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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