microsoft/swinv2-tiny-patch4-window16-256
image-classification model by microsoft
From the publisher
Model card & documentation
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Swin Transformer v2 model pre-trained on ImageNet-1k at resolution 256x256. It was introduced in the paper Swin Transformer V2: Scaling Up Capacity and Resolution by Liu et al. and first released in this repository. Disclaimer: The team releasing Swin Transformer v2 did not write a model card for this model so this model card has been written by the Hugging Face team. 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 due to computation of self-attention only within each local window (shown in red). It can thus serve as a general-purpose backbone for both image classification and dense recognition tasks. In contrast, previous vision Transformers produce feature maps of a single low resolution and have quadratic computation complexity to input image size due to computation of…
Read the full model card ↗ · Preview checked 2026-10-31T09:30:21.167Z
Inside the original model card — Document outline
- Swin Transformer v2 (tiny-sized model)
- Model description
- Intended uses & limitations
- How to use
- BibTeX entry and citation info
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Documentation belongs to its respective authors. Reported project/model license: apache-2.0. A listing is not a grant of reuse or training rights. Confirm the document’s own terms at the source.
Model overview
microsoft/swinv2-tiny-patch4-window16-256 is a image-classification model repository published by microsoft on Hugging Face. The source reports the transformers library.
This page summarizes Hub metadata. For intended use, training data, evaluation results and limitations, consult the original model card.
Model facts
- Task
- image-classification
- Library
- transformers
- Recent downloads (30 days)
- 391,821
- Cumulative likes
- 23
- Hugging Face trending score
- 0
- Reported safetensors parameters
- Not reported
- Architecture
- Swinv2ForImageClassification
- License
- apache-2.0
- Access
- Not gated by Hugging Face
- Created
- 2022-06-14T06:17:52.000Z
- Last modified
- 2022-12-10T10:09:55.000Z
Compatibility and lineage
Language coverage was not reported.
Base-model lineage was not included.
Parameter count is not a RAM/VRAM requirement. Check precision, quantization, context length and runtime compatibility in the model card; no hardware or API-cost claim is inferred here.
Use and evaluate
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Source and freshness
Source: Hugging Face Hub. Metadata observed 2026-11-01T06:54:32.747Z. Daily imports are snapshots, not real-time monitoring.
Popularity and source listings do not establish security, suitability, licensing rights or benchmark performance.
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