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