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Mobileclip S0 Timm
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Mobileclip S0 Timm

Developed by apple
MobileCLIP-S0 is an efficient image-text model achieved through multimodal reinforcement training, significantly improving speed and size efficiency while maintaining high performance.
Text-to-Image#Zero-shot image-text matching#Low-latency inference#Multimodal training
Downloads 532
Release Time : 6/6/2024

Model Overview

MobileCLIP is a fast image-text model designed for multimodal tasks, capable of achieving high performance in tasks such as zero-shot classification.

Model Features

Efficient Performance
Maintains performance comparable to ViT-B/16 while being 4.8x faster and 2.8x smaller in size
Multimodal Reinforcement Training
Uses specialized training methods to enhance image-text matching capabilities
Lightweight Design
Model architecture optimized for mobile and edge devices

Model Capabilities

Zero-shot image classification
Image-text matching
Multimodal understanding

Use Cases

Computer Vision
Image Classification
Classify images without specific training
Achieves 67.8% zero-shot accuracy on ImageNet-1k
Multimodal Applications
Image-Text Retrieval
Enable cross-modal retrieval between images and text
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