Implementation:Lucidrains X transformers Pip Install

Field	Value
Repo	x-transformers
Domains	Setup, DevOps
Last Updated	2026-02-08 18:00 GMT

Overview

Concrete tool for installing the x-transformers library using the pip package manager.

Description

This is an External Tool Doc. It documents the installation of x-transformers from PyPI using pip. Core dependencies are automatically resolved during installation. Optional dependencies (such as flash-attn for FlashAttention support) must be installed separately.

Code Reference

File: pyproject.toml, Lines: L1-65

Installation Commands

Standard Installation

# Install from PyPI
pip install x-transformers

# Install with flash attention (optional)
pip install x-transformers flash-attn

# Install from source
pip install git+https://github.com/lucidrains/x-transformers.git

Installation with Example Script Dependencies

# Install with dependencies needed for running example training scripts
pip install "x-transformers[examples]"

Development Installation

# Clone and install in development mode
git clone https://github.com/lucidrains/x-transformers.git
cd x-transformers
pip install -e ".[test]"

Dependencies

Package	Version Constraint	Purpose
torch	>= 2.0	Core deep learning framework
einops	>= 0.8.0	Flexible tensor reshaping and operations using Einstein notation
einx	>= 0.3.0	Advanced Einstein notation extensions for indexed operations
loguru	(any)	Structured logging
packaging	>= 21.0	Version parsing and comparison utilities

Optional dependency groups:

Group	Packages	Purpose
flash-pack-seq	flash-attn >= 2.0	FlashAttention acceleration for packed sequence training
examples	adam-atan2-pytorch >= 0.2.2, lion-pytorch, tqdm	Running example training scripts
test	pytest	Running the test suite

Verification

After installation, verify that x-transformers is correctly installed:

import x_transformers
print(x_transformers.__version__)  # Should print the installed version

Input / Output

Direction	Name	Description
Input	Python environment	Python 3.9+ environment with pip available
Output	Installed package	x-transformers package and all core dependencies installed and importable

Related Pages

• Principle:Lucidrains_X_transformers_Package_Installation
• Environment:Lucidrains_X_transformers_Python_Environment