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entfane
/
llama-guard-binary

Text Classification
Transformers
Safetensors
deberta-v2
text-embeddings-inference
Model card Files Files and versions
xet
Community

Instructions to use entfane/llama-guard-binary with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use entfane/llama-guard-binary with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("text-classification", model="entfane/llama-guard-binary")
    # Load model directly
    from transformers import AutoTokenizer, AutoModelForSequenceClassification
    
    tokenizer = AutoTokenizer.from_pretrained("entfane/llama-guard-binary")
    model = AutoModelForSequenceClassification.from_pretrained("entfane/llama-guard-binary")
  • Notebooks
  • Google Colab
  • Kaggle
llama-guard-binary
1.13 GB
Ctrl+K
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  • 1 contributor
History: 3 commits
entfane's picture
entfane
Upload tokenizer
9fdb7fe verified 3 days ago
  • .gitattributes
    1.57 kB
    Upload tokenizer 3 days ago
  • README.md
    5.17 kB
    Upload DebertaV2ForSequenceClassification 3 days ago
  • config.json
    1 kB
    Upload DebertaV2ForSequenceClassification 3 days ago
  • model.safetensors
    1.12 GB
    xet
    Upload DebertaV2ForSequenceClassification 3 days ago
  • tokenizer.json
    16 MB
    xet
    Upload tokenizer 3 days ago
  • tokenizer_config.json
    503 Bytes
    Upload tokenizer 3 days ago