Hugging Face Accelerate - AI Training Tools Tool

Overview

Hugging Face Accelerate is a lightweight toolkit for launching, training, and using PyTorch models on a wide range of devices. It provides support for distributed configuration, automatic mixed precision (including fp8), and easy-to-configure FSDP and DeepSpeed integrations.

Key Features

  • Simplified launch and training workflow for PyTorch models
  • Support for distributed configurations across GPUs and nodes
  • Automatic mixed precision support, including fp8
  • Easy-to-configure FSDP (Fully Sharded Data Parallel)
  • Integrations with DeepSpeed for large-model training
  • Designed to run on a wide variety of devices

Ideal Use Cases

  • Scaling PyTorch training across multiple GPUs or nodes
  • Reducing memory footprint using FSDP
  • Accelerating training with automatic mixed precision
  • Porting single-GPU experiments to distributed environments

Getting Started

  • Read the project's documentation on the GitHub repository
  • Install Accelerate in your Python environment
  • Configure device and distributed settings for your workload
  • Integrate Accelerate into your PyTorch training script
  • Run training using the toolkit's launch utilities

Pricing

No pricing information provided in the supplied tool data.

Key Information

  • Category: Training Tools
  • Type: AI Training Tools Tool