Swin Large Patch 4 Window 7 224
Microsoft's Swin Large Patch 4 Window 7 224 is a Vision Transformer model trained on ImageNet-1k at a resolution of 224x224, making it well-suited for image classification tasks. It is genuinely best at serving as a general-purpose backbone for both image classification and dense recognition tasks due to its ability to build hierarchical feature maps.
Input
Output
Context
-
Max Output
-
Parameters
196.5M
Technical Specifications
Model TypeVision
Context WindowNot available
Max Output TokensNot available
Parameters196.5M
Release DateMar 2, 2022
Training CutoffNot available
Licenseapache-2.0
Open SourceYes
Input Modalities
Image
Output Modalities
Text
Capabilities
Resources & Links
Estimated GPU Requirements for Swin Large Patch 4 Window 7 224
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 23, 2026
Start building with the right model.
Automatically route workloads to the right model for every task, every time.