Text Classification
Transformers
Safetensors
Arabic
deberta-v2
arabic
llm
security
saftey
text-embeddings-inference
Instructions to use NAMAA-Space/Ara-Prompt-Guard_V1 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use NAMAA-Space/Ara-Prompt-Guard_V1 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="NAMAA-Space/Ara-Prompt-Guard_V1")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("NAMAA-Space/Ara-Prompt-Guard_V1") model = AutoModelForSequenceClassification.from_pretrained("NAMAA-Space/Ara-Prompt-Guard_V1") - Notebooks
- Google Colab
- Kaggle
Ctrl+K