Female-male image classification
According to the model card, this HuggingPics-autogenerated classifier uses female and male example images.
Open Source Model Profile · rizvandwiki
Gender-classification is an 85.80M-parameter ViT image classifier from rizvandwiki. According to the model card, it is a HuggingPics-autogenerated female-male classifier.
Gender-classification is published by rizvandwiki as an image-classification model. Captured configuration identifies ViTForImageClassification with model type vit, and Safetensors metadata reports 85,800,194 parameters. According to the model card, it was autogenerated by HuggingPics with a linked Colab demo for building custom image classifiers.
According to the model card, this HuggingPics-autogenerated classifier uses female and male example images.
Captured configuration identifies ViTForImageClassification, with Safetensors metadata reporting 85,800,194 parameters.
The hub record lists the transformers library with PyTorch, safetensors, vit, and endpoints-compatible tags.
Source: rizvandwiki/gender-classification
Captured: Unknown. Processed: 2026-09-07T19:34:56.825629+00:00.
gender-classification Autogenerated by HuggingPics🤗🖼️ Create your own image classifier for anything by running the demo on Google Colab . Report any issues with the demo at the github repo . Example Images female male
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