Update README.md

import torch
from transformers import MT5Tokenizer, LongT5ForConditionalGeneration

model_name = "dantepalacio/ruLongT5-Large"
tokenizer = MT5Tokenizer.from_pretrained(model_name)
model = LongT5ForConditionalGeneration.from_pretrained(model_name, ignore_mismatched_sizes=True)

README.md

@@ -1,4 +1,15 @@
+---
+language:
+- ru
+---
 original model: agemagician/mlong-t5-tglobal-large
 
 
-adaptation guide: https://towardsdatascience.com/how-to-adapt-a-multilingual-t5-model-for-a-single-language-b9f94f3d9c90
+adaptation guide: https://towardsdatascience.com/how-to-adapt-a-multilingual-t5-model-for-a-single-language-b9f94f3d9c90
+
+import torch
+from transformers import MT5Tokenizer, LongT5ForConditionalGeneration
+
+model_name = "dantepalacio/ruLongT5-Large"
+tokenizer = MT5Tokenizer.from_pretrained(model_name)
+model = LongT5ForConditionalGeneration.from_pretrained(model_name, ignore_mismatched_sizes=True)