gender-classification

The gender‑classification model is a Vision‑Transformer (ViT) based image‑classification system that predicts whether a portrait image depicts a female

rizvandwiki 876K downloads mpl Image Classification
Frameworkstransformerspytorchsafetensors
Tagstensorboardvitimage-classificationhuggingpicsmodel-index
Downloads
876K
License
mpl
Pipeline
Image Classification
Author
rizvandwiki

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Technical Overview

The gender‑classification model is a Vision‑Transformer (ViT) based image‑classification system that predicts whether a portrait image depicts a female or male subject. Hosted on Hugging Face under the repository rizvandwiki/gender‑classification, the model is built with PyTorch and packaged as safetensors for fast, memory‑efficient loading. It is part of the HuggingPics ecosystem, which provides a ready‑to‑run Google Colab demo for rapid experimentation.

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