Instructions to use idanpers/JailBreakModel with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use idanpers/JailBreakModel with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="idanpers/JailBreakModel")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("idanpers/JailBreakModel") model = AutoModelForSequenceClassification.from_pretrained("idanpers/JailBreakModel") - Notebooks
- Google Colab
- Kaggle
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README.md
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# Load model directly
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from transformers import AutoTokenizer, AutoModelForSequenceClassification
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tokenizer = AutoTokenizer.from_pretrained("idanpers/
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model = AutoModelForSequenceClassification.from_pretrained("idanpers/
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use:
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# Load model directly
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from transformers import AutoTokenizer, AutoModelForSequenceClassification
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tokenizer = AutoTokenizer.from_pretrained("idanpers/JailBreakModel")
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model = AutoModelForSequenceClassification.from_pretrained("idanpers/JailBreakModel")
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use:
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