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---
base_model: MMattaparthy/sft_finetined_final
library_name: transformers
model_name: reward-model
tags:
- generated_from_trainer
- trl
- reward-trainer
licence: license
---
# Model Card for reward-model
This model is a fine-tuned version of [MMattaparthy/sft_finetined_final](https://huggingface.co/MMattaparthy/sft_finetined_final).
It has been trained using [TRL](https://github.com/huggingface/trl).
## Quick start
```python
from transformers import pipeline
text = "The capital of France is Paris."
rewarder = pipeline(model="None", device="cuda")
output = rewarder(text)[0]
print(output["score"])
```
## Training procedure
This model was trained with Reward.
### Framework versions
- TRL: 0.24.0
- Transformers: 4.57.1
- Pytorch: 2.8.0+cu126
- Datasets: 4.0.0
- 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}}
}
``` |