Update README.md

README.md

@@ -12,6 +12,13 @@ base_model:
 
 ## Пример использования:
 ```python
+from transformers import T5ForConditionalGeneration, T5Tokenizer
+
+
+model = T5ForConditionalGeneration.from_pretrained("path_to_folder", use_safetensors=True)
+tokenizer = T5Tokenizer.from_pretrained("path_to_folder")
+
+
 def generate_answer(question: str, context: str) -> str:
   
   input_text = f"question: {question} context: {context}"
@@ -20,5 +27,5 @@ def generate_answer(question: str, context: str) -> str:
   outputs = model.generate(input_ids)
   answer = tokenizer.decode(outputs[0], skip_special_tokens=True)
 
-return answer
+  return answer
 ```