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")# pip install -U transformers accelerate # Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("peter2000/laya-vulnerability-groups", device_map="auto") - Laya
How to use peter2000/laya-vulnerability-groups with Laya:
# No code snippets available yet for this library. # To use this model, check the repository files and the library's documentation. # Want to help? PRs adding snippets are welcome at: # https://github.com/huggingface/huggingface.js
- Notebooks
- Google Colab
- Kaggle
Commit History
23 days ago
-
Full accuracy+F1 metrics: laya zero-shot, laya fine-tuned, setfit (95 test rows)
Verified signatureffe5750 -
Add full-metric evaluation script (accuracy + F1 for laya zero-shot, laya fine-tuned, setfit)
Verified signaturefe8e23c -
Add evaluation metrics
Verified signatureeca9e1b -
Laya fine-tuned on GIZ vulnerability data: macro-F1 0.654 (zero-shot 0.108)
Verified signatureac55aa8 -
Add evaluation metrics
Verified signaturea112bc2 -
Laya fine-tuned on GIZ vulnerability data: macro-F1 0.000 (zero-shot 0.000)
Verified signature89281e8 -
Add training script: RLCD fine-tune of laya on GIZ vulnerability data (17 binary questions per text)
Verified signaturec9604b1 -
initial commit
Verified signature293c8a8