ai model report

Is braindecode/labram-pretrained safe to load?

CLEAN risk. 0 of 0 tracked dependencies carry advisories. Driven by No version-matched advisories and no malicious packages..

View on HuggingFace

// posture
advisories 100provenance 100resolution 100xyz safety 100load safety 60supply chain 100scanner trust 100code execution 100
fig. 01 — posture on eight axes, 100 is clean. Weakest: load safety at 60.
// the finding
not scoredno advisory applies to a version this model pinsCLEAN

LOWShips safetensors plus 1 PyTorch pickle weight file(s) (pytorch_model.bin) that Hugging Face loaders (transformers, diffusers, PEFT) load instead of the safetensors when a consumer passes use_safetensors=False.

Author
braindecode
Loader
braindecode
License
bsd-3-clause
Downloads
88,788
Remote code
not required
// dependencies

0 direct

PackageEvidenceAdvisoriesWorst

Risk computed 2026-10-19 at 20:48 UTC. Dependencies come from the model's requirements, its declared loader and the code it ships; advisories from NVD, GHSA and OSV.

Model risk is computed from the model's declared and observed Python dependencies and the code it ships. If a finding is wrong, tell us.