RuCLIP-SB (Russian Contrastive Language–Image Pretraining SWIN-BERT) is a multimodal model for obtaining images and text similarities and rearranging captions and pictures. Unlike other versions of the model we use BERT for text encoder and SWIN transformer for image encoder.

Overview

ruCLIP-SB

RuCLIP-SB (Russian Contrastive Language–Image Pretraining SWIN-BERT) is a multimodal model for obtaining images and text similarities and rearranging captions and pictures. Unlike other versions of the model we use BERT for text encoder and SWIN transformer for image encoder.

Our model achieved 37.02% zero-shot accuracy on CIFAR100 and has 39543907 parameters.

Download URL: ruCLIP-SB

Example usage: Open In Colab

Finetuning: Open In Colab

ONNX example: Open In Colab

We trained model on 2 millions images.

image

Thanks to Sber AI for help.

Owner
Shahmatov Arseniy
Shahmatov Arseniy
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