Instructions to use CarlanLark/AIGT-detector-mixed-source with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use CarlanLark/AIGT-detector-mixed-source with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModel tokenizer = AutoTokenizer.from_pretrained("CarlanLark/AIGT-detector-mixed-source") model = AutoModel.from_pretrained("CarlanLark/AIGT-detector-mixed-source") - Notebooks
- Google Colab
- Kaggle
Create README.md
Browse files
README.md
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# AIGT-detector-mixed-source
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Checkpoint of the robust AIGT-detector SCRN under the mixed-source setting.
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Further information: https://github.com/CarlanLark/Robust-AIGC-Detector
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- Are AI-Generated Text Detectors Robust to Adversarial Perturbations?
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- *Guanhua Huang, Yuchen Zhang, Zhe Li, Yongjian You, Mingze Wang, Zhouwang Yang*
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- Paper link: https://arxiv.org/abs/2406.01179
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