AIbase
EN
Home
Eva02 Large Patch14 Clip 336.merged2b
E

Eva02 Large Patch14 Clip 336.merged2b

Developed by timm
EVA02 CLIP is a large-scale vision-language model based on the CLIP architecture, supporting tasks such as zero-shot image classification.
Text-to-Image
Safetensors
Open Source License:MIT#Zero-shot Image Classification#High-Resolution Visual Encoding#Multimodal Contrastive Learning
Downloads 197
Release Time : 12/26/2024

Model Overview

This model is a vision-language model based on the EVA02 and CLIP architectures, capable of understanding the relationship between images and text, suitable for various cross-modal tasks.

Model Features

Zero-shot Learning Capability
Capable of performing tasks like image classification without task-specific fine-tuning.
Cross-modal Understanding
Able to process and understand both visual and textual information simultaneously.
Large-scale Pretraining
Pretrained on a vast number of image-text pairs, offering strong generalization capabilities.

Model Capabilities

Zero-shot Image Classification
Image-Text Matching
Cross-modal Retrieval

Use Cases

Computer Vision
Image Classification
Classify images without training
Performs excellently on multiple benchmarks
Image Retrieval
Retrieve relevant images based on text descriptions
Content Moderation
Inappropriate Content Detection
Identify inappropriate content in images
Featured Recommended AI Models
AIbase
Empowering the Future, Your AI Solution Knowledge Base
English简体中文繁體中文にほんご
© 2025AIbase