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Vit Base Patch32 Clip 224.laion2b E16
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Vit Base Patch32 Clip 224.laion2b E16

Developed by timm
Vision Transformer model trained on the LAION-2B dataset, supporting zero-shot image classification tasks
Image Classification
Safetensors
Open Source License:MIT#Zero-shot Image Classification#Multimodal Pre-training#LAION-2B Dataset
Downloads 7,683
Release Time : 10/23/2024

Model Overview

This is a dual-purpose model that can be used in both OpenCLIP and timm frameworks, primarily for zero-shot image classification tasks.

Model Features

Dual Framework Support
Compatible with both OpenCLIP and timm frameworks, offering flexible usage options
Zero-shot Learning
Classify new categories without specific training data
Large-scale Pre-training
Trained on the massive LAION-2B dataset, with strong visual understanding capabilities

Model Capabilities

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

Use Cases

Computer Vision
Image Classification
Classify images without requiring training data for specific categories
Content Moderation
Identify inappropriate content in images
Multimodal Applications
Image-Text Matching
Evaluate the alignment between images and text descriptions
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