Text Classification
Transformers
ONNX
Safetensors
English
deberta-v2
prompt-injection
guardrail
security
lora
agent-safety
owasp-llm-top-10
mitre-atlas
Eval Results (legacy)
text-embeddings-inference
Instructions to use dannyliv/agent-guard-deberta-pi-base with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use dannyliv/agent-guard-deberta-pi-base with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="dannyliv/agent-guard-deberta-pi-base")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("dannyliv/agent-guard-deberta-pi-base") model = AutoModelForSequenceClassification.from_pretrained("dannyliv/agent-guard-deberta-pi-base") - Notebooks
- Google Colab
- Kaggle
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