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usezn
/
Galvanize-3

Text Classification
Transformers
ONNX
Safetensors
multilingual
English
modernbert
prompt-injection
jailbreak-detection
llm-security
ai-agents
guardrails
onnxruntime
mcp
text-embeddings-inference
Model card Files Files and versions
xet
Community

Instructions to use usezn/Galvanize-3 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use usezn/Galvanize-3 with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("text-classification", model="usezn/Galvanize-3")
    # pip install -U transformers accelerate
    # Load model directly
    from transformers import AutoTokenizer, AutoModelForSequenceClassification
    
    tokenizer = AutoTokenizer.from_pretrained("usezn/Galvanize-3")
    model = AutoModelForSequenceClassification.from_pretrained("usezn/Galvanize-3", device_map="auto")
  • Notebooks
  • Google Colab
  • Kaggle
Galvanize-3 / assets
468 kB
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  • 1 contributor
History: 1 commit
tljohnsilver's picture
tljohnsilver
Release Galvanize 3 (Apache-2.0): weights, ONNX export, model card
700a2f0 verified 1 day ago
  • every-call.svg
    18.4 kB
    Release Galvanize 3 (Apache-2.0): weights, ONNX export, model card 1 day ago
  • g3-banner-1507x468.png
    416 kB
    xet
    Release Galvanize 3 (Apache-2.0): weights, ONNX export, model card 1 day ago
  • long-text-false-alarms.svg
    34.1 kB
    Release Galvanize 3 (Apache-2.0): weights, ONNX export, model card 1 day ago