Instructions to use phishbot/ScamLLM with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use phishbot/ScamLLM with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="phishbot/ScamLLM")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("phishbot/ScamLLM") model = AutoModelForSequenceClassification.from_pretrained("phishbot/ScamLLM") - Notebooks
- Google Colab
- Kaggle
Update README.md
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README.md
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model_outputs = classifier(prompt)
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print(model_outputs[0])
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```
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model_outputs = classifier(prompt)
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print(model_outputs[0])
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```
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If you use our model in your research, please cite our paper as follows:
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@inproceedings{roy2024chatbots,
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title={From Chatbots to Phishbots?: Phishing Scam Generation in Commercial Large Language Models},
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author={Roy, Sayak Saha and Thota, Poojitha and Naragam, Krishna Vamsi and Nilizadeh, Shirin},
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booktitle={2024 IEEE Symposium on Security and Privacy (SP)},
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pages={221--221},
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year={2024},
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organization={IEEE Computer Society}
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}
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