CITATION.cff

cff-version: 1.2.0
title: 'TRL: Transformer Reinforcement Learning'
message: >-
  If you use this software, please cite it using the
  metadata from this file.
type: software
authors:
  - given-names: Leandro
    family-names: von Werra
  - given-names: Younes
    family-names: Belkada
  - given-names: Lewis
    family-names: Tunstall
  - given-names: Edward
    family-names: Beeching
  - given-names: Tristan
    family-names: Thrush
  - given-names: Nathan
    family-names: Lambert
  - given-names: Shengyi
    family-names: Huang
  - given-names: Kashif
    family-names: Rasul
  - given-names: Quentin
    family-names: Gallouédec
repository-code: 'https://github.com/huggingface/trl'
abstract: "With trl you can train transformer language models with Proximal Policy Optimization (PPO). The library is built on top of the transformers library by \U0001F917 Hugging Face. Therefore, pre-trained language models can be directly loaded via transformers. At this point, most decoder and encoder-decoder architectures are supported."
keywords:
  - rlhf
  - deep-learning
  - pytorch
  - transformers
license: Apache-2.0
version: 0.11.1