Text Classification
Transformers
Safetensors
English
deberta-v2
security
prompt
cyber-security
llm-security
prompt-injection
command-injection
text-embeddings-inference
Instructions to use edaerer/promptwaf-command-injection with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use edaerer/promptwaf-command-injection with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="edaerer/promptwaf-command-injection")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("edaerer/promptwaf-command-injection") model = AutoModelForSequenceClassification.from_pretrained("edaerer/promptwaf-command-injection") - Notebooks
- Google Colab
- Kaggle