ai model report

Is jhu-clsp/ettin-encoder-17m safe to load?

CLEAN risk. 1 of 1 tracked dependencies carry advisories. Driven by No version-matched advisories and no malicious packages..

View on HuggingFace

// posture

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 4.47.0.dev0, which has known advisories. Consumers normally install a current version — this only bites if you pin for reproducibility.

Author: jhu-clsp
Task: fill-mask
License: mit
Downloads: 97,496
Remote code: not required

// dependencies

1 direct, 1 with findings

Package	Evidence	Advisories	Worst
transformers	direct, authored	18	none pinned

Risk computed 2026-10-01 at 23:48 UTC. Dependencies come from the model's requirements, its declared loader and the code it ships; advisories from NVD, GHSA and OSV.