Vit Base Patch32 Clip 224.laion2b E16
Vision Transformer model trained on the LAION-2B dataset, supporting zero-shot image classification tasks
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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