Feature Extraction
Transformers
static_canary
ctf
model-scanning
supply-chain-canary
static-analysis
custom_code
Instructions to use WWTCyberLab/static-canary-pt-loader-risk with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use WWTCyberLab/static-canary-pt-loader-risk with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("feature-extraction", model="WWTCyberLab/static-canary-pt-loader-risk", trust_remote_code=True)# pip install -U transformers accelerate # Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("WWTCyberLab/static-canary-pt-loader-risk", trust_remote_code=True, device_map="auto") - Notebooks
- Google Colab
- Kaggle
Commit History
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Add CTF flag to high pickle finding
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Add CTF flag to scanner evidence metadata
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Use LoRA template safetensors canaries
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Use larger FP32 safetensors canaries
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Add safetensors obfuscation canaries
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Upload static model scanning canary
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initial commit
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