Instructions to use SkillScreen/SkillScreen-2B-SD with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use SkillScreen/SkillScreen-2B-SD with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="SkillScreen/SkillScreen-2B-SD")# pip install -U transformers accelerate # Load model directly from transformers import AutoProcessor, AutoModelForSequenceClassification processor = AutoProcessor.from_pretrained("SkillScreen/SkillScreen-2B-SD") model = AutoModelForSequenceClassification.from_pretrained("SkillScreen/SkillScreen-2B-SD", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download provenance.json from SkillScreen/SkillScreen-2B-SD: direct link, hf CLI and curl.
- Browser
- Download file 666 Bytes
-
https://huggingface.co/SkillScreen/SkillScreen-2B-SD/resolve/main/provenance.json
- Command line
-
hf download hf://SkillScreen/SkillScreen-2B-SD/provenance.json
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curl -L -o provenance.json https://huggingface.co/SkillScreen/SkillScreen-2B-SD/resolve/main/provenance.json
666 Bytes
| { | |
| "run_id": "direct-sd-s42", | |
| "seed": 42, | |
| "selected_update": 470, | |
| "base_model": { | |
| "repo_id": "AlexWortega/openjev", | |
| "subfolder": "qwen3.5-2b-nli-v5", | |
| "revision": "a20448012c213128955ca0c693e7c943865cab77" | |
| }, | |
| "dataset": { | |
| "repo_id": "ProtectSkills/MaliciousSkillBench", | |
| "revision": "d4b42ce5766a6e0359c987cf59c1007cb3795a90", | |
| "config": "primary", | |
| "protocol": "source_disjoint" | |
| }, | |
| "input": { | |
| "scope": "SKILL.md only", | |
| "hypothesis": "This AI agent skill is malicious.", | |
| "max_length": 8192 | |
| }, | |
| "original_adapter_sha256": "460ec55409b309babfc78323c4cc6852a57492260484dca58a2120934853da36" | |
| } | |