swinv2-tiny-patch4-window16-256 is a small-scale Swin Transformer V2 model pretrained on ImageNet-1K for image classification. Developed by Microsoft, it is optimized for efficiency while maintaining strong performance on vision tasks. The model is available on Hugging Face and integrates seamlessly with the Transformers library for inference.
Swinv2 Tiny Patch4 Window16 256 sits in PulseGate's Other AI category. Efficiently classifying images using a compact hierarchical vision transformer. It is built as an open-source project for developers. Swinv2 Tiny Patch4 Window16 256 is open source under the MIT license. Swinv2 Tiny Patch4 Window16 256 is available on the web and API.
Microsoft builds and maintains Swinv2 Tiny Patch4 Window16 256, and the product first shipped in 2021. Development happens publicly on GitHub with 16k stars.
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