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Aimv2 1b Patch14 448.apple Pt
AIM-v2 is an image encoder model based on the timm framework, providing efficient image feature extraction capabilities.
Downloads 72
Release Time : 12/31/2024
Model Overview
This model is the image encoder implementation of AIM-v2, compatible with the timm framework, primarily used for image feature extraction tasks.
Model Features
Efficient image feature extraction
Based on the AIM-v2 architecture, it provides efficient image feature extraction capabilities.
Compatible with timm framework
Fully compatible with the timm framework for easy integration and use.
Large model scale
With 1 billion parameters, it is suitable for handling complex image feature extraction tasks.
Model Capabilities
Image feature extraction
Image representation learning
Use Cases
Computer vision
Image classification
Can be used for feature extraction in image classification tasks.
Object detection
Can serve as a feature extractor for object detection models.
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