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Muse-Ltd
/
Muse-Prompt-Shield-1-50M

Text Classification
Transformers
Safetensors
English
multilingual
prompt-injection
jailbreak-detection
llm-security
guardrail
deberta
Model card Files Files and versions
xet
Community

Instructions to use Muse-Ltd/Muse-Prompt-Shield-1-50M with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use Muse-Ltd/Muse-Prompt-Shield-1-50M with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("text-classification", model="Muse-Ltd/Muse-Prompt-Shield-1-50M")
    # Load model directly
    from transformers import AutoModel
    model = AutoModel.from_pretrained("Muse-Ltd/Muse-Prompt-Shield-1-50M", device_map="auto")
  • Notebooks
  • Google Colab
  • Kaggle
Muse-Prompt-Shield-1-50M
205 MB
Ctrl+K
Ctrl+K
  • 2 contributors
History: 5 commits
Elais-jann's picture
Elais-jann
Adding Policy and Limitation
5800f00 verified 9 days ago
  • .gitattributes
    1.52 kB
    initial commit 9 days ago
  • POLICY.md
    23 kB
    Adding Policy and Limitation 9 days ago
  • README.md
    12 kB
    Update README.md 9 days ago
  • added_tokens.json
    23 Bytes
    Adding Muse Prompt Shield 1 50M to repo 9 days ago
  • model.safetensors
    200 MB
    xet
    Adding Muse Prompt Shield 1 50M to repo 9 days ago
  • special_tokens_map.json
    147 Bytes
    Adding Muse Prompt Shield 1 50M to repo 9 days ago
  • tokenizer.json
    5.11 MB
    Adding Muse Prompt Shield 1 50M to repo 9 days ago
  • tokenizer_config.json
    1.14 kB
    Adding Muse Prompt Shield 1 50M to repo 9 days ago