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Swinv2
SwinV2 is a vision model based on the Swin Transformer architecture, fine-tuned for specific tasks.
Downloads 17
Release Time : 1/29/2023
Model Overview
This model is a vision model based on the Swin Transformer V2 architecture, fine-tuned on an unknown dataset, suitable for computer vision tasks such as image classification.
Model Features
Based on Swin Transformer V2 Architecture
Utilizes the advanced Swin Transformer V2 architecture with powerful visual feature extraction capabilities.
Fine-tuned Version
Fine-tuned on the base model, potentially optimized for specific tasks or datasets.
Supports Multiple Resolutions
Supports various input resolutions from 192x192 to 256x256.
Model Capabilities
Image Classification
Visual Feature Extraction
Use Cases
Computer Vision
Image Classification
Can be used for general image classification tasks
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