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Vit Large Patch14 Clip 224.laion400m E31
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Vit Large Patch14 Clip 224.laion400m E31

Developed by timm
A large Vision Transformer model trained on the LAION-400M dataset, supporting zero-shot image classification tasks
Image Classification
Safetensors
Open Source License:MIT#Zero-shot Image Classification#Multimodal CLIP Model#LAION-400M Pretraining
Downloads 21.15k
Release Time : 10/23/2024

Model Overview

This model is a dual-purpose vision model compatible with both OpenCLIP and timm frameworks, primarily used for image classification tasks, especially excelling in zero-shot learning scenarios

Model Features

Dual Framework Compatibility
Supports both OpenCLIP and timm frameworks, offering more flexible usage
Zero-shot Learning
Capable of performing image classification tasks without domain-specific training
Large-scale Training Data
Trained on the LAION-400M dataset, with broad visual concept understanding capabilities

Model Capabilities

Zero-shot Image Classification
Visual Feature Extraction
Cross-modal Understanding

Use Cases

Image Analysis
General Object Recognition
Classify and recognize common objects in images
Performs well in open-domain image classification tasks
Content Moderation
Automatically identify inappropriate content in images
Effectively recognizes various types of sensitive content
Cross-modal Applications
Image-Text Matching
Evaluate the matching degree between images and text descriptions
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