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usezn
/
Galvanize-2

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

Instructions to use usezn/Galvanize-2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use usezn/Galvanize-2 with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("text-classification", model="usezn/Galvanize-2")
    # pip install -U transformers accelerate
    # Load model directly
    from transformers import AutoTokenizer, AutoModelForSequenceClassification
    
    tokenizer = AutoTokenizer.from_pretrained("usezn/Galvanize-2")
    model = AutoModelForSequenceClassification.from_pretrained("usezn/Galvanize-2", device_map="auto")
  • Notebooks
  • Google Colab
  • Kaggle
Galvanize-2 / benchmark
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  • 1 contributor
History: 1 commit
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tljohnsilver
Add public benchmark script and results
9d39b25 verified 1 day ago
  • README.md
    9.73 kB
    Add public benchmark script and results 1 day ago
  • decontam_excluded_ids.json
    3.93 kB
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  • horizon_published_metrics.json
    8.35 kB
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  • requirements.txt
    557 Bytes
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  • results.json
    224 kB
    Add public benchmark script and results 1 day ago
  • results.md
    18.3 kB
    Add public benchmark script and results 1 day ago
  • run_benchmark.py
    38.7 kB
    Add public benchmark script and results 1 day ago