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Vit Large Patch14 Clip 224.laion400m E32
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Vit Large Patch14 Clip 224.laion400m E32

Developed by timm
Large Vision Transformer model trained on LAION-400M dataset, supporting zero-shot image classification tasks
Image Classification
Safetensors
Open Source License:MIT#Zero-shot image classification#LAION-400M pre-trained#Dual-framework compatible
Downloads 1,208
Release Time : 10/23/2024

Model Overview

This is a dual-purpose model based on Vision Transformer architecture, compatible with both open_clip and timm frameworks, primarily used for zero-shot image classification tasks.

Model Features

Dual-framework compatible
Supports both open_clip and timm frameworks, providing more flexible usage options
Zero-shot learning
Capable of classifying images into new categories without specific training
Large-scale pre-training
Trained on the massive LAION-400M dataset, possessing powerful visual representation capabilities

Model Capabilities

Image classification
Visual feature extraction
Zero-shot learning

Use Cases

Computer vision
General image classification
Classify arbitrary images without domain-specific training
Content understanding
Understand image content and generate relevant descriptions
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