Update README.md

README.md

@@ -18,10 +18,10 @@ This model is based on the T5-base model. We used "transfer learning" to get our
 
 **Deploying example:**
 ```python
-device = "cuda"
-
 from transformers import AutoTokenizer, AutoModelForSeq2SeqLM
 
+device = "cuda"
+
 tokenizer = AutoTokenizer.from_pretrained("humarin/chatgpt_paraphraser_on_T5_base")
 
 model = AutoModelForSeq2SeqLM.from_pretrained("humarin/chatgpt_paraphraser_on_T5_base").to(device)
@@ -42,7 +42,6 @@ def paraphrase(text, max_length=128, num_return_sequences=5, num_beams=25, tempe
     res = tokenizer.batch_decode(outputs, skip_special_tokens=True)
 
     return res
-    
 ```
 
 **Usage examples**