TRL

You are viewing v0.11.1 version. A newer version v0.12.1 is available.

Join the Hugging Face community

and get access to the augmented documentation experience

Collaborate on models, datasets and Spaces

Faster examples with accelerated inference

Switch between documentation themes

to get started

Installation

You can install TRL either from pypi or from source:

Install the library with pip:

pip install trl

You can also install the latest version from source. First clone the repo and then run the installation with pip:

git clone https://github.com/huggingface/trl.git
cd trl/
pip install -e .

If you want the development install you can replace the pip install with the following:

pip install -e ".[dev]"