from transformers import pipeline

text = "The capital of France is Paris."
rewarder = pipeline(model="shreyaskaps/paxhistoria-reward-model-v2-8b", device="cuda")
output = rewarder(text)[0]
print(output["score"])

Training procedure

Visualize in Weights & Biases

This model was trained with Reward.

Framework versions

TRL: 0.29.0
Transformers: 5.2.0
Pytorch: 2.10.0
Datasets: 4.6.0
Tokenizers: 0.22.2

Citations

Cite TRL as:

bibtex

@software{vonwerra2020trl,
  title   = {{TRL: Transformers Reinforcement Learning}},
  author  = {von Werra, Leandro and Belkada, Younes and Tunstall, Lewis and Beeching, Edward and Thrush, Tristan and Lambert, Nathan and Huang, Shengyi and Rasul, Kashif and Gallouédec, Quentin},
  license = {Apache-2.0},
  url     = {https://github.com/huggingface/trl},
  year    = {2020}
}