Hugging Face's logo Hugging Face
  • Models
  • Datasets
  • Spaces
  • Buckets new
  • Docs
  • Enterprise
  • Pricing

  • Log In
  • Sign Up

dcarpintero
/
pangolin-guard-base

Text Classification
Transformers
Safetensors
modernbert
ai-safety
safeguards
guardrails
text-embeddings-inference
Model card Files Files and versions
xet
Community

Instructions to use dcarpintero/pangolin-guard-base with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use dcarpintero/pangolin-guard-base with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("text-classification", model="dcarpintero/pangolin-guard-base")
    # Load model directly
    from transformers import AutoTokenizer, AutoModelForSequenceClassification
    
    tokenizer = AutoTokenizer.from_pretrained("dcarpintero/pangolin-guard-base")
    model = AutoModelForSequenceClassification.from_pretrained("dcarpintero/pangolin-guard-base")
  • Notebooks
  • Google Colab
  • Kaggle
pangolin-guard-base
602 MB
Ctrl+K
Ctrl+K
  • 1 contributor
History: 8 commits
dcarpintero's picture
dcarpintero
Update README.md
eb220d9 verified about 1 year ago
  • .gitattributes
    1.52 kB
    initial commit about 1 year ago
  • README.md
    3.99 kB
    Update README.md about 1 year ago
  • config.json
    1.42 kB
    End of training about 1 year ago
  • model.safetensors
    598 MB
    xet
    End of training about 1 year ago
  • special_tokens_map.json
    694 Bytes
    End of training about 1 year ago
  • tokenizer.json
    3.58 MB
    End of training about 1 year ago
  • tokenizer_config.json
    20.8 kB
    End of training about 1 year ago
  • training_args.bin
    5.37 kB
    xet
    End of training about 1 year ago