Text Classification
Transformers
ONNX
Safetensors
English
Polish
deberta-v2
prompt-injection
security
deberta
Eval Results (legacy)
text-embeddings-inference
Instructions to use VigilGuard/vigil-llm-guard with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use VigilGuard/vigil-llm-guard with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="VigilGuard/vigil-llm-guard")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("VigilGuard/vigil-llm-guard") model = AutoModelForSequenceClassification.from_pretrained("VigilGuard/vigil-llm-guard") - Notebooks
- Google Colab
- Kaggle
Welcome to the community
The community tab is the place to discuss and collaborate with the HF community!