from transformers import pipeline

text = "The capital of France is Paris."
rewarder = pipeline(model="ianyang02/aita_qwen3-4b_nta_yta", device="cuda")
output = rewarder(text)[0]
print(output["score"])

Training procedure

Visualize in Weights & Biases

This model was trained with Reward.

Framework versions

TRL: 0.25.1
Transformers: 4.57.1
Pytorch: 2.7.0.dev20250224+cu126
Datasets: 4.4.1
Tokenizers: 0.22.1

Citations

Cite TRL as:

bibtex

@misc{vonwerra2022trl,
	title        = {{TRL: Transformer Reinforcement Learning}},
	author       = {Leandro von Werra and Younes Belkada and Lewis Tunstall and Edward Beeching and Tristan Thrush and Nathan Lambert and Shengyi Huang and Kashif Rasul and Quentin Gallou{\'e}dec},
	year         = 2020,
	journal      = {GitHub repository},
	publisher    = {GitHub},
	howpublished = {\url{https://github.com/huggingface/trl}}
}