Create README.md

README.md

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+---
+language:
+- ru
+tags:
+- PyTorch
+- Transformers
+thumbnail: "https://github.com/sberbank-ai/ru-dalle"
+
+---
+# ruDALL-E Malevich (XL)
+## Generate images from text
+
+<img style="text-align:center; display:block;" src="https://huggingface.co/sberbank-ai/rudalle-Malevich/resolve/main/dalle-malevich.jpg" width="200">
+* [Technical Report (Russian)](https://habr.ru/)
+* [Demo](https://rudalle.ru)
+
+Model was trained by [Sber AI](https://github.com/sberbank-ai) and [SberDevices](https://sberdevices.ru/) teams.  
+* Task: `text2image generation`
+* Type: `encoder-decoder`
+* Num Parameters: `1.3 B`
+* Training Data Volume `120 million text-image pairs`
+
+### Model Description
+This is a 1.3 billion parameter model for Russian, recreating OpenAI's [DALL·E](https://openai.com/blog/dall-e/), a model capable of generating arbitrary images from a text prompt that describes the desired result. 
+
+The generation pipeline includes ruDALL-E, ruCLIP for ranging results, and a superresolution model.
+
+### How to Use
+The easiest way to get familiar with the code and the models is to follow the inference notebook we provide in our [github repo](https://huggingface.co/sberbank-ai/rudalle-Malevich). 
+