Skip to content

EthenEthenEthen

Open Source Model Profile · viddexa

nsfw-detection-2-mini

nsfw-detection-2-mini is a 17.68M-parameter EfficientNet NSFW classifier from viddexa. Hub tags associate it with image content moderation and an EfficientNet-B4 reference.

Publisher
viddexa
Task
image-classification
Model type
efficientnet
License
apache-2.0
Library
transformers
Publication status
Accepted · not indexed

Model overview

nsfw-detection-2-mini is published by viddexa as an image-classification model. The captured configuration identifies EfficientNetForImageClassification with model type efficientnet, and Safetensors metadata reports 17,682,781 parameters. Hub tags associate it with NSFW content moderation and an EfficientNet-B4 base-model reference.

Recorded capabilities

EfficientNet NSFW moderation record

The record is an EfficientNet image-classification checkpoint whose tags include efficientnet, nsfw, content-moderation, moderators, and not-for-all-audiences.

17.68M-parameter mini scale

Captured Safetensors metadata reports 17,682,781 parameters.

Base-model and paper tag references

Hub tags record base_model:google/efficientnet-b4 and arxiv:2312.16338, without an extracted model card to verify training lineage or evaluation context.

Transformers and endpoints-compatible format

The hub record lists the transformers library with safetensors format, and tags record endpoints compatibility, model-index presence, and region:us.

Use cases in the source record

  • Lightweight image content-moderation screening where a smaller EfficientNet NSFW classifier is relevant, subject to independent validation of labels and thresholds.
  • Research comparison among EfficientNet-family moderation classifiers, using the recorded base-model and paper tag references as starting points.

Limitations and unknowns

  • No model card was present, so intended uses, training details, labels, thresholds, and evaluation results are unknown.
  • No evaluation results were extracted from this record.
  • No label definitions or classification thresholds were extracted.
  • Provider state is historical snapshot data, not independently refreshed current availability.

Source and provenance

Source: viddexa/nsfw-detection-2-mini

Captured: Unknown. Processed: 2026-09-07T19:36:03.948138+00:00.

F001F002F003F004F005F006F007F008F009F010