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Vit Tiny Patch16 224
ViT-Tiny model converted from the timm repository, suitable for image classification tasks, with usage consistent with the ViT-base model
Downloads 692.49k
Release Time : 3/2/2022
Model Overview
Small vision Transformer model for image classification tasks, trained on the ImageNet dataset
Model Features
Lightweight architecture
Fewer parameters compared to standard ViT models, suitable for resource-constrained environments
Compatibility
Usage is fully consistent with the ViT-base model, facilitating migration and use
Safe format
Provides safetensors format model for enhanced security
Model Capabilities
Image classification
Visual feature extraction
Use Cases
Computer vision
Object recognition
Identify object categories in images
Performs well on the ImageNet dataset
Scene classification
Classify image scenes
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