TRL Jobs.
Project description
TRL Jobs
A convenient wrapper around hfjobs for running TRL (Transformer Reinforcement Learning) specific workflows on Hugging Face infrastructure.
Installation
pip install trl-jobs
Available Commands
SFT (Supervised Fine-Tuning)
Run SFT job with ease:
trl-jobs sft --flavor a100-large --model_name Qwen/Qwen3-0.6B --dataset_name trl-lib/Capybara
Required Arguments
--model_name: Model name (e.g.,Qwen/Qwen3-0.6B)--dataset_name: Dataset name (e.g.,trl-lib/Capybara)
Optional Arguments
--flavor: Hardware flavor (default:t4-small)-d, --detach: Run job in background and print job ID--token: Hugging Face access token
Authentication
You can provide your Hugging Face token in several ways:
- Using
huggingface-hublogin:huggingface-cli login - Setting the
HF_TOKENenvironment variable - Using the
--tokenargument
License
MIT License - see LICENSE file for details.
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