Instructions to use SkillScreen/SkillScreen-2B-SBR with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use SkillScreen/SkillScreen-2B-SBR with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="SkillScreen/SkillScreen-2B-SBR")# pip install -U transformers accelerate # Load model directly from transformers import AutoProcessor, AutoModelForSequenceClassification processor = AutoProcessor.from_pretrained("SkillScreen/SkillScreen-2B-SBR") model = AutoModelForSequenceClassification.from_pretrained("SkillScreen/SkillScreen-2B-SBR", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Commit History
8 days ago
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Add link to paper
Verified signatureThis PR adds a reference to the paper [SkillScreen: High-Recall Screening of Malicious Agent Skills with Decision Models](https://huggingface.co/papers/2610.17727) in the model card, making it easier for users to access the associated publication.5d9ee74
10 days ago
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Keep model card concise
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Document BF16 merge verification
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Add verified seed-42 full model and original adapter
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initial commit
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