Update README.md

README.md

@@ -28,32 +28,34 @@ This is the model card of a 🤗 transformers model that has been pushed on the
 - **Finetuned from model [google-t5-small]:** [More Information Needed]
 
 
-- ** Load model directly
+```
+#Load model directly
 from transformers import AutoTokenizer, AutoModelForSeq2SeqLM
 
 tokenizer = AutoTokenizer.from_pretrained("onlysainaa/cyrillic_to_script-t5-model")
 model = AutoModelForSeq2SeqLM.from_pretrained("onlysainaa/cyrillic_to_script-t5-model")
 
-- ** Check if CUDA (GPU) is available
+#Check if CUDA (GPU) is available
 device = torch.device("cuda" if torch.cuda.is_available() else "cpu")
 
-- ** Move the model to the same device (GPU or CPU)
+#Move the model to the same device (GPU or CPU)
 model.to(device)
 
-- ** Prepare text input
-input_text = "сайн уу"  - ** Mongolian greeting
+#Prepare text input
+input_text = "сайн уу"  #Mongolian greeting
 
-- ** Tokenize the input text
+#Tokenize the input text
 inputs = tokenizer(input_text, return_tensors="pt")
 
-- ** Move the input tensors to the same device as the model
+#Move the input tensors to the same device as the model
 inputs = {k: v.to(device) for k, v in inputs.items() if k in ['input_ids', 'attention_mask']}
 
-- ** Generate translation
+#Generate translation
 outputs = model.generate(**inputs)
 
-- ** Decode the output to human-readable text
+#Decode the output to human-readable text
 translated_text = tokenizer.decode(outputs[0], skip_special_tokens=True)
 
-- ** Print the translated text
-print(f"Translated Text: {translated_text}")
+#Print the translated text
+print(f"Translated Text: {translated_text}")
+```