Update README.md

README.md

@@ -28,6 +28,8 @@ widget:
 
 # T5 for belarusian language
 
+![model image](https://camo.githubusercontent.com/623b4dea0b653f2ad3f36c71ebfe749a677ac0a1/68747470733a2f2f6d69726f2e6d656469756d2e636f6d2f6d61782f343030362f312a44304a31674e51663876727255704b657944387750412e706e67)
+
 This model is based on T5-small with sequence length equal 128 tokens. Model trained from scratch on RTX 3090  24GB. 
 
 # Supported tasks:
@@ -59,4 +61,7 @@ x = tokenizer.encode('<extra_id_1>да зорак праз цяжкасці', re
 result = model.generate(x, return_dict_in_generate=True, output_scores=True,max_length=128)
 print(tokenizer.decode(result["sequences"][0]))
 ```
-</details>
+</details>
+
+# References
+ - [Exploring the Limits of Transfer Learning with a Unified Text-to-Text Transformer](https://jmlr.org/papers/volume21/20-074/20-074.pdf)