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", device_map="auto") - Notebooks
- Google Colab
- Kaggle
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README.md
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## Dataset Details
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The dataset utilized for training this model has been created using malicious prompts generated by GPT-4.
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Due to being active vulnerabilities under review, our dataset of malicious prompts is available only upon request at this stage
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## Training Details
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## Dataset Details
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The dataset utilized for training this model has been created using malicious prompts generated by GPT-4.
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Due to being active vulnerabilities under review, our dataset of malicious prompts is available only upon request at this stage.
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## Training Details
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