Instructions to use just1nseo/ClearCheck-8B with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use just1nseo/ClearCheck-8B with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("question-answering", model="just1nseo/ClearCheck-8B")# Load model directly from transformers import AutoTokenizer, AutoModelForCausalLM tokenizer = AutoTokenizer.from_pretrained("just1nseo/ClearCheck-8B") model = AutoModelForCausalLM.from_pretrained("just1nseo/ClearCheck-8B", device_map="auto") - Notebooks
- Google Colab
- Kaggle
metadata
license: apache-2.0
library_name: transformers
pipeline_tag: question-answering
This repository contains the ClearCheck-8B model presented in the paper Verifying the Verifiers: Unveiling Pitfalls and Potentials in Fact Verifiers.
Code: https://github.com/just1nseo/Verifying-the-Verifiers
Citation
If you find this model useful, please cite our paper!
@article{seo2025verifying,
title={Verifying the Verifiers: Unveiling Pitfalls and Potentials in Fact Verifiers},
author={Seo, Wooseok and Han, Seungju and Jung, Jaehun and Newman, Benjamin and Lim, Seungwon and Lee, Seungbeen and Lu, Ximing and Choi, Yejin and Yu, Youngjae},
journal={arXiv preprint arXiv:2506.13342},
year={2025}
}