ai model report

Is facebook/xlm-roberta-xl safe to load?

CLEAN risk. 3 of 36 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.

1 more finding on this model.

Author
facebook
Task
fill-mask
Loader
transformers
License
mit
Downloads
75,586
Remote code
not required
// dependencies

6 direct, 3 with findings, 30 reachable

PackageEvidenceAdvisoriesWorst
transformersdirect, runtime24none pinned
torchdirect, inferred12none pinned
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Risk computed 2026-10-11 at 00:47 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.