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Vit Large Patch14 Clip 224.laion2b
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Vit Large Patch14 Clip 224.laion2b

Developed by timm
Vision Transformer model based on CLIP architecture, specialized in image feature extraction
Image Classification
Transformers
Open Source License:Apache-2.0#Multimodal Pre-training#Zero-shot Classification#Large-scale Image Understanding
Downloads 502
Release Time : 12/24/2024

Model Overview

This is a Vision Transformer model based on the CLIP architecture, specifically designed for image feature extraction tasks. It adopts the ViT-Large architecture and can process input images with a resolution of 224x224.

Model Features

Large-scale Pre-training
Pre-trained on the laion2B dataset, with strong image understanding capabilities
High-resolution Processing
Supports image input with a resolution of 224x224
Transformer Architecture
Utilizes Vision Transformer architecture with global attention mechanism

Model Capabilities

Image feature extraction
Image representation learning
Visual content understanding

Use Cases

Computer Vision
Image Retrieval
Extract image features for similar image search
Visual Content Analysis
Understand image content and extract semantic features
Multimodal Applications
Image-Text Matching
Collaborate with text encoders to achieve cross-modal retrieval
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