fairface_age_image_detection and vit-base-patch16-224 are both image-classification models. See each entry for specifics.
A ViT-base model fine-tuned on the FairFace dataset for age bracket classification from face images. It categorizes detected faces into age groups (0-2, 3-9, 10-19, 20-29, 30-39, 40-49, 50-59, 60-69, 70+). Built on google/vit-base-patch16-224-in21k and fine-tuned with Apache 2.0 license.
Google's ViT-Base (Vision Transformer base model) with 16×16 pixel patch size trained at 224px resolution on ImageNet-21k and fine-tuned on ImageNet-1k. The paper introducing ViTs demonstrated that pure transformer architectures without convolutional inductive bias can match CNNs on image classification when trained on sufficient data. Widely used as a starting backbone for image classification fine-tuning.
Pick based on your compute budget and specific task requirements.