Modelpublic

webnizam/nsfw_image_detection

sourceHugging Faceupdated 17d agoView on Hugging Face

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Model Card

Model Card — Falconsai/nsfwimagedetection/model.safetensors

[View in Model Surgeon](https://surgeon.falcons.ai/?hub=webnizam/nsfw_image_detection)

This card is generated from the surgical record itself; the package's lineage.intoto.jsonl is the signed source of truth (verify it free at the Surgeon's public verifier or with the bundled verify_attestation.py).

Architecture

—Identification: NLP · Small Language Model (SLM) (98% confidence)
—Source format: safetensors · Intended task: not declared
—config.json: the repo's config.json, edited
—Source license: apache-2.0
—Lineage chain: 1 surgery (no prior attestation reachable) · Falconsai/nsfwimagedetection
—Post-surgery totals: 85,800,194 parameters · 200 tensors
—Compute estimate: 5.001711 GFLOPs (comparison metric, not a measurement)

Provenance & operations

—Parents: Falconsai/nsfwimagedetection/model.safetensors
—Operations performed: load×1
—Weight merges recorded: 0
—Quantized tensors (F32→F16): 0

Surgery Log (ordered)

1.load — hub:Falconsai/nsfwimagedetection/model.safetensors (343.2 MB, safetensors)

Validation

—Tissue imaging: not run
—Structural integrity is testable offline via the packaged load_and_test.py.

Compliance note

The signed attestation + this card together document model composition, modification history, and validation evidence — the record structure technical-documentation obligations (e.g. EU AI Act Annex IV) ask for. This is evidence, not legal advice.