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NAMAA-Space
/
Ara-Prompt-Guard_V1

Text Classification
Transformers
Safetensors
Arabic
deberta-v2
arabic
llm
security
saftey
text-embeddings-inference
Model card Files Files and versions
xet
Community

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
Ara-Prompt-Guard_V1
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  • 2 contributors
History: 10 commits
Hanan-Tabak's picture
Hanan-Tabak
Upload DebertaV2ForSequenceClassification
af5276f verified 2 months ago
  • .gitattributes
    1.57 kB
    Upload tokenizer 2 months ago
  • README.md
    4.19 kB
    Update README.md 2 months ago
  • config.json
    922 Bytes
    Upload DebertaV2ForSequenceClassification 2 months ago
  • model.safetensors
    1.12 GB
    xet
    Upload DebertaV2ForSequenceClassification 2 months ago
  • tokenizer.json
    16 MB
    xet
    Upload tokenizer 2 months ago
  • tokenizer_config.json
    502 Bytes
    Upload tokenizer 2 months ago