Efficient Training with Hugging Face Accelerate
accelerate.Accelerator, device-agnostic training, gradient accumulation, DeepSpeed integration.
The Boilerplate Problem
Writing device placement, DDP setup, and mixed precision by hand is verbose and error-prone. Hugging Face Accelerate removes that boilerplate: the same script runs on CPU, one GPU, many GPUs, or even TPUs with no code changes.
The Accelerator Object
The heart of the library is the Accelerator. You create one at the top of your script; it detects the environment and manages devices, distributed setup, and precision for you.
from accelerate import Accelerator
accelerator = Accelerator()
device = accelerator.deviceAll lessons in this course
- Multi-GPU Training with DataParallel
- DistributedDataParallel (DDP)
- Mixed Precision Training with AMP
- Efficient Training with Hugging Face Accelerate