Vit Base Patch 16 224
Google's Vit Base Patch 16 224 is a Vision Transformer model pre-trained on ImageNet-21k and fine-tuned on ImageNet 2012, exceling at image classification tasks by learning an inner representation of images. It is notable for its use of a transformer encoder architecture, where images are presented as a sequence of fixed-size patches.
Input
Output
Context
-
Max Output
-
Parameters
86.6M
Technical Specifications
Model TypeVision
Context WindowNot available
Max Output TokensNot available
Parameters86.6M
Release DateMar 2, 2022
Training CutoffOct 22, 2020
Licenseapache-2.0
Open SourceYes
Input Modalities
Image
Output Modalities
Text
Capabilities
Estimated GPU Requirements for Vit Base Patch 16 224
Estimates based on INT8 quantization. Actual requirements vary by framework and configuration.
Related Tools
Data sourced from official provider APIs and documentation
Last updated: Jun 24, 2026
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