ai model report

Is ihanif/wav2vec2-xls-r-300m-pashto safe to load?

CLEAN risk. 4 of 121 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 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.

2 more findings on this model.

Author: ihanif
Task: automatic-speech-recognition
Loader: transformers
License: apache-2.0
Downloads: 338,024
Remote code: not required

// dependencies

15 direct, 11 with findings, 113 reachable

Package	Evidence	Advisories	Worst
transformers	direct, runtime	24	none pinned
torch	direct, runtime	13	none pinned
numpy	direct, install	8	hidden
datasets	direct, install	1	hidden
evaluate	direct, install	0	hidden
huggingface-hub	direct, install	0	hidden
safetensors	direct, install	0	hidden
tokenizers	direct, install	0	hidden

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Risk computed 2026-11-06 at 21:49 UTC. Dependencies come from the model's requirements, its declared loader and the code it ships; advisories from NVD, GHSA and OSV.