Vit So400m Patch14 Siglip Gap 896.pali2 3b Pt
A vision model based on the SigLIP image encoder, employing global average pooling, and part of the PaliGemma2 project
Downloads 14
Release Time : 12/26/2024
Model Overview
This model is a vision model focused on image feature extraction, utilizing the SigLIP image encoder architecture and global average pooling technology.
Model Features
SigLIP Image Encoder
An image encoder based on the SigLIP architecture, focused on efficient image feature extraction
Global Average Pooling
Utilizes global average pooling technology to help extract global image features
PaliGemma2 Project
Part of the PaliGemma2 project, potentially designed to work in conjunction with other components
Model Capabilities
Image feature extraction
Visual representation learning
Use Cases
Computer Vision
Image Classification
Can be used for image classification tasks, extracting image features for classifiers
Visual Question Answering
Serves as the visual encoding component for visual question answering systems
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