Instructions to use zjunlp/SafeEdit-Safety-Classifier with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use zjunlp/SafeEdit-Safety-Classifier with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="zjunlp/SafeEdit-Safety-Classifier")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("zjunlp/SafeEdit-Safety-Classifier") model = AutoModelForSequenceClassification.from_pretrained("zjunlp/SafeEdit-Safety-Classifier", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Update README.md
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README.md
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@@ -26,8 +26,10 @@ If you use our work, please cite our paper:
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title={Detoxifying Large Language Models via Knowledge Editing},
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author={Mengru Wang, Ningyu Zhang, Ziwen Xu, Zekun Xi, Shumin Deng, Yunzhi Yao, Qishen Zhang, Linyi Yang, Jindong Wang, Huajun Chen},
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year={2024},
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eprint={
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archivePrefix={arXiv},
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primaryClass={cs.CL}
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}
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```
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title={Detoxifying Large Language Models via Knowledge Editing},
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author={Mengru Wang, Ningyu Zhang, Ziwen Xu, Zekun Xi, Shumin Deng, Yunzhi Yao, Qishen Zhang, Linyi Yang, Jindong Wang, Huajun Chen},
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year={2024},
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eprint={2403.14472},
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archivePrefix={arXiv},
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primaryClass={cs.CL}
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url={https://arxiv.org/abs/2403.14472},
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}
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```
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