Text Classification
Scikit-learn
Joblib
English
prompt-injection
jailbreak
security
random-forest
tfidf
Eval Results (legacy)
Instructions to use neuralchemy/prompt-injection-detector with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Scikit-learn
How to use neuralchemy/prompt-injection-detector with Scikit-learn:
from huggingface_hub import hf_hub_download import joblib model = joblib.load( hf_hub_download("neuralchemy/prompt-injection-detector", "sklearn_model.joblib") ) # only load pickle files from sources you trust # read more about it here https://skops.readthedocs.io/en/stable/persistence.html - Notebooks
- Google Colab
- Kaggle
Re-upload as .joblib: random_forest.joblib
Browse files- random_forest.joblib +3 -0
random_forest.joblib
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version https://git-lfs.github.com/spec/v1
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oid sha256:b9a7d247fd0f678df054a23e7aff7dfd53495eaef63dccb6eba8b9dd1834a41e
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size 8871353
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