AIbase
EN
Home
CLIP ViT B 16 CommonPool.L S1b B8k
C

CLIP ViT B 16 CommonPool.L S1b B8k

Developed by laion
A vision-language model based on the CLIP architecture, supporting zero-shot image classification tasks
Text-to-ImageOpen Source License:MIT#Zero-shot Image Classification#Multimodal Contrastive Learning#Large-scale Pretraining
Downloads 517
Release Time : 4/26/2023

Model Overview

This model is a variant of the CLIP architecture, combining Vision Transformer (ViT) and text encoder, capable of understanding the relationship between images and text, suitable for cross-modal retrieval and zero-shot classification tasks.

Model Features

Zero-shot Learning Capability
Can perform image classification tasks without task-specific fine-tuning
Cross-modal Understanding
Capable of processing and understanding both visual and textual information
Large-scale Pretraining
Pretrained on a vast number of image-text pairs, with strong generalization capabilities

Model Capabilities

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

Use Cases

Content Retrieval
Text-based Image Search
Retrieve relevant images using natural language descriptions
Intelligent Classification
Zero-shot Image Classification
Classify images of new categories without training
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