Update README.md

README.md

@@ -11,13 +11,14 @@ RUDOLPH: One Hyper-Tasking Transformer Can be Creative as DALL-E and GPT-3 and S
 
 <img src="https://raw.githubusercontent.com/sberbank-ai/ru-dolph/master/pics/RUDOLPH.png" width=60% border="2"/>
 
+Model was trained by [Sber AI](https://github.com/sberbank-ai) team.
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 # Model Description
 
 **RU**ssian **D**ecoder **O**n **L**anguage **P**icture **H**yper-tasking (**RUDOLPH**) **2.7B** is the largest text-image-text transformer designed for an easy fine-tuning for a range of tasks: from generating images by text description and image classification to visual question answering and more. This model demonstrates the power of Hyper-tasking Transformers.
 
 *Hyper-tasking model is a generalized multi-tasking model, i.e., the model that can solve almost all tasks within supported modalities, mandatory including mutual pairwise translations between modalities (two modalities in case of RUDOLPH: images and Russian texts).*
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-Model was trained by [Sber AI](https://github.com/sberbank-ai) team.  
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 * Tasks: ` text2image generation, self reranking, text ranking, image ranking, image2text generation, zero-shot image classification, text2text generation, text qa, math qa, image captioning, image generation, text recognition in the wild, visual qa, and so on`
 * Language: ` Russian`
 * Type: ` decoder`