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@@ -11,12 +11,7 @@ RUDOLPH: One Hyper-Tasking Transformer Can be Creative as DALL-E and GPT-3 and S
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  <img src="https://raw.githubusercontent.com/sberbank-ai/ru-dolph/master/pics/RUDOLPH.png" height="60" border="2"/>
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- Model was trained by [Sber AI](https://github.com/sberbank-ai) team.
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- * Task: `text2image generation`; `self reranking`; `text ranking`; `image ranking`; `image2text generation`; `zero-shot image classification`, `text2text generation`;
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- * Language: `Russian`
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- * Type: `decoder`
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- * Num Parameters: `1.3B`
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- * Training Data Volume: `119 million text-image pairs; 60 million text paragraphs`
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  # Model Description
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  <img src="https://raw.githubusercontent.com/sberbank-ai/ru-dolph/master/pics/RUDOLPH.png" height="60" border="2"/>
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+ Model was trained by [Sber AI](https://github.com/sberbank-ai) team.
 
 
 
 
 
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  # Model Description
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