swin-tiny-patch4-window7-224

Model overview

swin-tiny-patch4-window7-224 is published by microsoft as an image-classification model. The captured configuration identifies SwinForImageClassification with a swin model type and Safetensors metadata reports 28317166 parameters. According to the model card, it is a tiny Swin Transformer trained on ImageNet-1k at 224x224.

Recorded capabilities

Use cases in the source record

• Image classification over 1,000 ImageNet classes using the documented AutoImageProcessor and AutoModelForImageClassification example.
• Backbone-style vision experiments where the card describes hierarchical Swin features as usable for classification and dense recognition tasks.

Limitations and unknowns

• No evaluation results were extracted from this record.
• The model card notes its card was written by the Hugging Face team because the releasing team did not write one.
• Provider state is historical snapshot data, not independently refreshed current availability.
• No context-window value applies to this image-classification record and none was extracted.

Source and provenance

Source: microsoft/swin-tiny-patch4-window7-224

Captured: Unknown. Processed: 2026-09-07T19:34:51.898617+00:00.

Swin Transformer (tiny-sized model) Swin Transformer model trained on ImageNet-1k at resolution 224x224. It was introduced in the paper Swin Transformer: Hierarchical Vision Transformer using Shifted Windows by Liu et al. and first released in this repository . Disclaimer: The team releasing Swin Transformer did not write a model card for this model so this model card has been written by the Hugging Face team. Model description The Swin Transformer is a type of Vision Transformer. It builds hierarchical feature maps by merging image patches (shown in gray) in deeper layers and has linear computation complexity to input image size du…