TRL documentation
Installation
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API
Model ClassesTrainer ClassesReward Model TrainingSupervised Fine-TuningBest of N SamplingDPO TrainerDenoising Diffusion Policy OptimizationText Environments
Examples
You are viewing v0.7.1 version. A newer version v1.8.0 is available.
Installation
You can install TRL either from pypi or from source:pypi
Install the library with pip:pip install trl
Source
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]"