accelerate

A tool for launching, training, and using PyTorch models with ease on various devices, configurations, including mixed precision support.

GitHub Website

GraphCanon updated Sep 26, 2026 · GitHub synced Sep 26, 2026

189views this month

9.9k stars1.5k forksLast push Sep 25, 2026 Python Apache-2.0

Decision brief

Tool: accelerate

Good fit when

Easy mixed-precision support for PyTorch models
Simplified training across diverse hardware setups

Avoid when

Non-PyTorch projects do not benefit from this tool
Doesnt offer advanced auto-tuning features for other frameworks like TensorFlow

Observed Jul 15, 2026 · Source: enrich:decision_facts

accelerate alternatives Trust report

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Maintenance and security

Full trust report

Maintenance: Very active (0d since push); As of Sep 26, 2026
Provenance: Not a fork · Organization account; As of Sep 26, 2026
Security (OSV): No lockfile; As of Jul 11, 2026

Public GitHub metadata and optional OSV scans. Signals, not a guarantee. Trust methodology.

Backing

Company context for Hugging Face. Display-only - separate from trust and ranking.

Company: Hugging Face·GitHub org profile·Jul 11, 2026
Employees: 160·Wikidata (P1128 employees)·Jul 11, 2026
Funding: $235,000,000 (2023-08)·GraphCanon curated seed (public press)·Jul 11, 2026
Commercial model: OSS + managed cloud·GraphCanon curated seed·Jul 11, 2026

Install

pip install accelerate

PyPI

How it fits your stack(1)

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Integrates

pytorch

Hugging Face's Accelerate is a tool that facilitates the use of PyTorch models across various devices and configurations, including mixed precision support.

integrates

Relationship graph

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Evidence and technical details

Sourced facts, taxonomy, compatibility claims, README excerpt, and machine-readable endpoints.

Overview

🤗 Accelerate provides an easy way to train PyTorch models using automatic mixed-precision techniques and supports FSDP and DeepSpeed configuration. It simplifies model deployment across a variety of hardware setups.

Capability facts

Languages: python
Source: github.language+pyproject.toml · Sep 26, 2026

Graph entities

Hugging Facecompany

Compatibility

Sourced claims from the README excerpt - not unsourced marketing copy.

Python runtimePython

Source: README excerpt (regex_v1, Sep 26, 2026)

This repository is tested on Python 3.8+ and PyTorch 1.10.0+

Source link

README

Installation This repository is tested on Python 3.8+ and PyTorch 1.10.0+ You should install 🤗 Accelerate in a virtual environment. If you're unfamiliar with Python virtual environments, check out the user guide. First, create a virtual environment with the version of Python you...

For agents

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/tools/huggingface-accelerate.md GET /api/graphcanon/tools/huggingface-accelerate GET /api/graphcanon/graph?tool=huggingface-accelerate