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meta-llama
/
Llama-Prompt-Guard-2-22M

Text Classification
Transformers
Safetensors
PyTorch
deberta-v2
facebook
meta
llama
llama4
safety
text-embeddings-inference
Model card Files Files and versions
xet
Community
9

Instructions to use meta-llama/Llama-Prompt-Guard-2-22M with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use meta-llama/Llama-Prompt-Guard-2-22M with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("text-classification", model="meta-llama/Llama-Prompt-Guard-2-22M", device_map="auto")
    # Load model directly
    from transformers import AutoTokenizer, AutoModelForSequenceClassification
    
    tokenizer = AutoTokenizer.from_pretrained("meta-llama/Llama-Prompt-Guard-2-22M")
    model = AutoModelForSequenceClassification.from_pretrained("meta-llama/Llama-Prompt-Guard-2-22M", device_map="auto")
  • Inference
  • Notebooks
  • Google Colab
  • Kaggle
New discussion
Resources
  • PR & discussions documentation
  • Code of Conduct
  • Hub documentation

fix: set `clean_up_tokenization_spaces` to `false`

#9 opened 4 months ago by
maxsloef

How to get 22 M version locally? And how to add new attack categories to the model?

#8 opened about 1 year ago by
KushBor

Adding ONNX file of this model

#7 opened about 1 year ago by
guychuk

Is this another censure tool?

#6 opened about 1 year ago by
kumanatsu
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