Mengzi Oscar Base Retrieval
A Chinese image-text retrieval model fine-tuned on the COCO-ir dataset based on the Chinese multimodal pretraining model Mengzi-Oscar
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Release Time : 3/2/2022
Model Overview
The Mengzi-Oscar Basic Retrieval Model is a lightweight Chinese multimodal pretraining model focused on Chinese image-text retrieval tasks, supporting cross-modal retrieval of images and text.
Model Features
Lightweight and Compact
The model emphasizes lightweight design and efficiency, suitable for applications in Chinese environments.
Multimodal Capability
Supports cross-modal understanding and retrieval of images and text.
Chinese Optimization
Specifically optimized for the characteristics of the Chinese language.
Model Capabilities
Image-Text Matching
Cross-modal Retrieval
Chinese Image-Text Understanding
Use Cases
E-commerce
Product Image Search
Retrieve relevant product images through text descriptions
Content Management
Media Library Retrieval
Find relevant images or videos based on text descriptions
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