Text Classification
Transformers
Safetensors
deberta-v2
prompt-injection
injection
security
llm-security
Generated from Trainer
text-embeddings-inference
Instructions to use proventra/mdeberta-v3-base-prompt-injection with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use proventra/mdeberta-v3-base-prompt-injection with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="proventra/mdeberta-v3-base-prompt-injection")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("proventra/mdeberta-v3-base-prompt-injection") model = AutoModelForSequenceClassification.from_pretrained("proventra/mdeberta-v3-base-prompt-injection", device_map="auto") - Notebooks
- Google Colab
- Kaggle
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