Text Classification
Transformers
Safetensors
English
modernbert
prompt-injection
jailbreak-detection
moderation
security
guard
text-embeddings-inference
Instructions to use qualifire/prompt-injection-sentinel with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use qualifire/prompt-injection-sentinel with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="qualifire/prompt-injection-sentinel")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("qualifire/prompt-injection-sentinel") model = AutoModelForSequenceClassification.from_pretrained("qualifire/prompt-injection-sentinel", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Gated model You can list files but not access them
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