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Altclip

Developed by BAAI
AltCLIP is a simple and efficient bilingual CLIP model supporting Chinese-English text-image representation tasks.
Downloads 12.78k
Release Time : 11/15/2022

Model Overview

AltCLIP is a bilingual text-image representation model based on the CLIP architecture. Through two-stage training involving parallel knowledge distillation and bilingual contrastive learning, it supports image-text retrieval and matching tasks in Chinese and English scenarios.

Model Features

Bilingual Support
Extends CLIP's language encoder to support Chinese and English, enabling bilingual text-image representation tasks.
Two-Stage Training
Employs parallel knowledge distillation and bilingual contrastive learning in two-stage training to enhance model performance.
Open Access
The model follows the CreativeML OpenRAIL-M license, permitting commercial use and service-based redistribution.

Model Capabilities

Zero-shot Image Classification
Image-Text Retrieval
Bilingual Text-Image Matching

Use Cases

Multimedia Content Analysis
Cross-lingual Image Search
Use Chinese or English text queries to match relevant image content.
Supports high-precision bilingual text-image matching.
Content Generation
AltDiffusion Support
Provides bilingual text-image representation support for the AltDiffusion model.
Generates high-quality images matching the text descriptions.
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