Instructions to use yaful/MAGE with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use yaful/MAGE with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="yaful/MAGE")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("yaful/MAGE") model = AutoModelForSequenceClassification.from_pretrained("yaful/MAGE") - Inference
- Notebooks
- Google Colab
- Kaggle
metadata
license: apache-2.0
MAGE: Machine-generated Text Detection in the Wild
๐ Citation
Please check out our Github repo for detailed information. If you use this model in your research, please cite it as follows:
@misc{li2024mage,
title={MAGE: Machine-generated Text Detection in the Wild},
author={Yafu Li and Qintong Li and Leyang Cui and Wei Bi and Zhilin Wang and Longyue Wang and Linyi Yang and Shuming Shi and Yue Zhang},
year={2024},
eprint={2305.13242},
archivePrefix={arXiv},
primaryClass={cs.CL}
}