Text Classification
Transformers
Safetensors
Portuguese
deberta-v2
prompt-injection
jailbreak-detection
segurança
MAPA
binary-classification
text-embeddings-inference
Instructions to use intelliway/deberta-v3-base-prompt-injection-v2-mapa with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use intelliway/deberta-v3-base-prompt-injection-v2-mapa with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="intelliway/deberta-v3-base-prompt-injection-v2-mapa")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("intelliway/deberta-v3-base-prompt-injection-v2-mapa") model = AutoModelForSequenceClassification.from_pretrained("intelliway/deberta-v3-base-prompt-injection-v2-mapa") - Notebooks
- Google Colab
- Kaggle
Modelo de Detecção de Prompt Injection - MAPA
Modelo fine-tunado a partir de protectai/deberta-v3-base-prompt-injection-v2 para classificar prompts como legítimos (0) ou tentativa de jailbreak (1) no contexto do MAPA.
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