Instructions to use NAMAA-Space/Ara-Prompt-Guard_V0 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use NAMAA-Space/Ara-Prompt-Guard_V0 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="NAMAA-Space/Ara-Prompt-Guard_V0")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("NAMAA-Space/Ara-Prompt-Guard_V0") model = AutoModelForSequenceClassification.from_pretrained("NAMAA-Space/Ara-Prompt-Guard_V0", device_map="auto") - Inference
- Notebooks
- Google Colab
- Kaggle
Download confusion_matrix.png from NAMAA-Space/Ara-Prompt-Guard_V0: direct link, hf CLI and curl.
- Browser
- Download file 14 kB
-
https://huggingface.co/NAMAA-Space/Ara-Prompt-Guard_V0/resolve/main/confusion_matrix.png
- Command line
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hf download hf://NAMAA-Space/Ara-Prompt-Guard_V0/confusion_matrix.png
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curl -L -o confusion_matrix.png https://huggingface.co/NAMAA-Space/Ara-Prompt-Guard_V0/resolve/main/confusion_matrix.png
14 kB
