This pretrained Vision Transformer model classifies images and is distributed through Hugging Face for use with timm or Transformers. It is intended for machine learning developers and researchers running image inference locally or integrating the model into applications.
In the Other AI space, Vit Base Patch16 224.augreg In21k takes a focused approach. It focuses on classifying images with a pretrained Vision Transformer without training a model from scratch. It is built as an open-source project for machine learning developers and researchers. The project is open source (Apache-2.0). It ships for the web and API, and it can be self-hosted.
Behind Vit Base Patch16 224.augreg In21k is PyTorch Image Models, and it first shipped in 2020. Development happens publicly on GitHub with 12.7k stars and 2 commits in the last 90 days. PulseGate's similarity index places it among 7 comparable projects. Among its 6 catalogued features are Image Classification, Pretrained Weights, and PyTorch Support.
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