Text Classification
Transformers
Safetensors
deberta-v2
prompt-injection-detection
ai-safety
jailbreak-detection
pii-detection
crp
context-relay-protocol
Eval Results (legacy)
text-embeddings-inference
Instructions to use AutoCyberAI/crp-safety-deberta-v1 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use AutoCyberAI/crp-safety-deberta-v1 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="AutoCyberAI/crp-safety-deberta-v1")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("AutoCyberAI/crp-safety-deberta-v1") model = AutoModelForSequenceClassification.from_pretrained("AutoCyberAI/crp-safety-deberta-v1", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 3881347c85c0f0ccb64150a149bad663bc4cb10055777a3f17a653eba4b1f95c
- Size of remote file:
- 5.91 kB
- SHA256:
- 3d361018d984ea037f3c989e9d3f0effb94e13dec76337d11bedf36356f7cd43
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