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Vit So400m Patch14 Siglip Gap 896.pali2 10b Pt
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Vit So400m Patch14 Siglip Gap 896.pali2 10b Pt

Developed by timm
Vision model based on SigLIP image encoder with global average pooling, part of the PaliGemma2 model
Text-to-Image
Transformers
Open Source License:Apache-2.0#SigLIP visual encoding#Global pooling feature extraction#Multimodal pre-training
Downloads 57
Release Time : 12/26/2024

Model Overview

This model is a vision Transformer focused on image feature extraction, employing the SigLIP image encoder architecture with global average pooling layers. As part of the PaliGemma2 project, it is primarily used for vision-language tasks.

Model Features

SigLIP image encoder
Image encoder using SigLIP architecture with excellent image feature extraction capabilities
Global average pooling
Includes global average pooling layers to help extract global image features
Large model compatibility
As part of the PaliGemma2 project, it can be used in conjunction with large language models

Model Capabilities

Image feature extraction
Visual representation learning

Use Cases

Multimodal applications
Image caption generation
Used with language models to generate descriptive text for images
Visual question answering
Answering natural language questions about image content
Computer vision
Image classification
Extracting image features for classification tasks
Object detection
Serving as a feature extractor for object detection systems
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