Text Classification
Transformers
modernbert
prompt-injection
jailbreak
security
multi-label
llm-guard
encoder
Instructions to use Accuknoxtechnologies/PromptInjection-Encoder-v1 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Accuknoxtechnologies/PromptInjection-Encoder-v1 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="Accuknoxtechnologies/PromptInjection-Encoder-v1")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("Accuknoxtechnologies/PromptInjection-Encoder-v1") model = AutoModelForSequenceClassification.from_pretrained("Accuknoxtechnologies/PromptInjection-Encoder-v1", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Commit History
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add eval metrics json
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add/update model card with eval metrics
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upload Prompt-Injection encoder (multi-label classifier)
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add eval metrics json
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add/update model card with eval metrics
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upload Prompt-Injection encoder (multi-label classifier)
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add eval metrics json
dca03fd -
add/update model card with eval metrics
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upload Prompt-Injection encoder (multi-label classifier)
2d2a157 -
add eval metrics json
5398aa3 -
add/update model card with eval metrics
aab05ea -
upload Prompt-Injection encoder (multi-label classifier)
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initial commit
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