ai model report

Is cross-encoder/nli-deberta-v3-small safe to load?

CLEAN risk. 4 of 59 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 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 1 pickle-format file(s); a consumer passing use_safetensors=False takes the pickle path.

2 more findings on this model.

Author
cross-encoder
Task
zero-shot-classification
Loader
sentence-transformers
License
apache-2.0
Downloads
522,128
Remote code
not required
// dependencies

6 direct, 5 with findings, 54 reachable

PackageEvidenceAdvisoriesWorst
transformersdirect, authored23none pinned
torchdirect, inferred13none pinned
Create a free accountto see all 59 dependencies, which versions are pinned, and what to change.

Risk computed 2026-09-22 at 18:51 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 cross-encoder/nli-deberta-v3-small safe to load? AI model security report | CyberXYZ