ai model report

Is dbmdz/bert-large-cased-finetuned-conll03-english safe to load?

CLEAN risk. 3 of 34 tracked dependencies carry advisories. Driven by No version-matched advisories and no malicious packages..

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// 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
0.0xyz score out of 10CLEAN

LOWShips both safetensors and 3 pickle-format file(s); a consumer passing use_safetensors=False takes the pickle path.

1 more finding on this model.

Author
dbmdz
Task
token-classification
Loader
transformers
Downloads
3,733,318
Remote code
not required
// dependencies

6 direct, 3 with findings, 28 reachable

PackageEvidenceAdvisoriesWorst
transformersdirect, runtime23none pinned
torchdirect, inferred13none pinned
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Risk computed 2026-09-22 at 19:57 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.
Is dbmdz/bert-large-cased-finetuned-conll03-english safe to load? AI model security report | CyberXYZ