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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 | ||
repository-code: 'https://github.com/lvwerra/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: 0.2.1 |