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peter2000
/
laya-vulnerability-groups

Text Classification
Transformers
Safetensors
laya
multi-label
climate
vulnerability
rlcd
Model card Files Files and versions
xet
Community

Instructions to use peter2000/laya-vulnerability-groups with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use peter2000/laya-vulnerability-groups with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("text-classification", model="peter2000/laya-vulnerability-groups")
    # Load model directly
    from transformers import AutoModel
    model = AutoModel.from_pretrained("peter2000/laya-vulnerability-groups", device_map="auto")
  • Notebooks
  • Google Colab
  • Kaggle
laya-vulnerability-groups
846 MB
Ctrl+K
Ctrl+K
  • 1 contributor
History: 8 commits
peter2000's picture
peter2000
Full accuracy+F1 metrics: laya zero-shot, laya fine-tuned, setfit (95 test rows)
ffe5750 verified 2 days ago
  • encoder
    Laya fine-tuned on GIZ vulnerability data: macro-F1 0.000 (zero-shot 0.000) 2 days ago
  • tokenizer
    Laya fine-tuned on GIZ vulnerability data: macro-F1 0.000 (zero-shot 0.000) 2 days ago
  • .gitattributes
    1.52 kB
    initial commit 2 days ago
  • README.md
    1.7 kB
    Laya fine-tuned on GIZ vulnerability data: macro-F1 0.654 (zero-shot 0.108) 2 days ago
  • eval_full.py
    7.06 kB
    Add full-metric evaluation script (accuracy + F1 for laya zero-shot, laya fine-tuned, setfit) 2 days ago
  • metrics.json
    1.85 kB
    Add evaluation metrics 2 days ago
  • metrics_full.json
    128 kB
    Full accuracy+F1 metrics: laya zero-shot, laya fine-tuned, setfit (95 test rows) 2 days ago
  • model.safetensors
    843 MB
    xet
    Laya fine-tuned on GIZ vulnerability data: macro-F1 0.654 (zero-shot 0.108) 2 days ago
  • rl_agent_config.json
    788 Bytes
    Laya fine-tuned on GIZ vulnerability data: macro-F1 0.654 (zero-shot 0.108) 2 days ago
  • train_laya.py
    17.7 kB
    Add training script: RLCD fine-tune of laya on GIZ vulnerability data (17 binary questions per text) 2 days ago