ai model report

Is jhgan/ko-sbert-nli safe to load?

CLEAN risk. 5 of 61 tracked dependencies carry advisories. Driven by No version-matched advisories and no malicious packages..

View on HuggingFace

// posture
advisories 100provenance 75resolution 100xyz safety 100load safety 20supply chain 100scanner trust 100code execution 100
fig. 01 — posture on eight axes, 100 is clean. Weakest: load safety at 20.
// the finding
not scoredno advisory applies to a version this model pinsCLEAN

INFOconfig.json was authored against transformers 4.13.0, which has known advisories. Consumers normally install a current version — this only bites if you pin for reproducibility.

1 more finding on this model.

Author
jhgan
Task
sentence-similarity
Loader
sentence-transformers
Downloads
81,101
Remote code
not required
// dependencies

6 direct, 6 with findings, 56 reachable

PackageEvidenceAdvisoriesWorst
transformersdirect, authored24none pinned
torchdirect, inferred12none pinned
Create a free accountto see all 61 dependencies, which versions are pinned, and what to change.

Risk computed 2026-10-06 at 01:48 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.