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SkillScreen
/
SkillScreen-2B-Package-Experimental

Text Classification
Transformers
Safetensors
qwen3_5
skillscreen
agent-security
nli
experimental
Model card Files Files and versions
xet
Community

Instructions to use SkillScreen/SkillScreen-2B-Package-Experimental with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use SkillScreen/SkillScreen-2B-Package-Experimental with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("text-classification", model="SkillScreen/SkillScreen-2B-Package-Experimental")
    # pip install -U transformers accelerate
    # Load model directly
    from transformers import AutoProcessor, AutoModelForSequenceClassification
    
    processor = AutoProcessor.from_pretrained("SkillScreen/SkillScreen-2B-Package-Experimental")
    model = AutoModelForSequenceClassification.from_pretrained("SkillScreen/SkillScreen-2B-Package-Experimental", device_map="auto")
  • Notebooks
  • Google Colab
  • Kaggle
SkillScreen-2B-Package-Experimental / __pycache__
16.9 kB
Ctrl+K
Ctrl+K
  • 1 contributor
History: 1 commit
JerroldH's picture
JerroldH
Add verified seed-42 full model and original adapter
b646fbd verified 4 days ago
  • package_inputs.cpython-312.pyc
    16.9 kB
    Add verified seed-42 full model and original adapter 4 days ago