Text Classification
Transformers
PyTorch
English
bert
jailbreak
security
moderation
prompt-injection
text-embeddings-inference
Instructions to use jackhhao/jailbreak-classifier with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use jackhhao/jailbreak-classifier with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="jackhhao/jailbreak-classifier")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("jackhhao/jailbreak-classifier") model = AutoModelForSequenceClassification.from_pretrained("jackhhao/jailbreak-classifier") - Inference
- Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 4301bd4c8816ac357ccda597697fbdc9f797fe9697ef1b3eb10c6bc67fb84a89
- Size of remote file:
- 438 MB
- SHA256:
- 450171758333f23800a7283e74f638d11f38a5b56420445ee2d0d2a6e35ee37e
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