Update README.md

README.md

@@ -15,7 +15,7 @@ This model is fine-tuned model of "Helsinki-NLP/opus-mt-ko-en" <br/>
 The model has been trained with 1,198,943 Korean, Enlgish sentence pairs which mainly contains science, technology terms. 
 
 # Load Model
-```
+```python
 from transformers import AutoTokenizer, AutoModelForSeq2SeqLM
 
 tokenizer = AutoTokenizer.from_pretrained("mjk0618/mt-ko-en-scitech")
@@ -23,18 +23,12 @@ model = AutoModelForSeq2SeqLM.from_pretrained("mjk0618/mt-ko-en-scitech")
 ```
 
 # How to use
-```
+```python
 # After loading model
-# Define the text you want to translate
 sentence = "인공지능은 인간의 학습능력, 추론능력, 지각능력을 인공적으로 구현하려는 컴퓨터 과학의 세부분야 중 하나이다"
 
-# Tokenize the text
 inputs = tokenizer(sentence, return_tensors="pt").input_ids
-
-# Generate the translated text
 outputs = model.generate(inputs)[0]
-
-# Decode the translated text
 translated_sentence = tokenizer.decode(outputs, skip_special_tokens=True)
 
 print(translated_sentence)