Update README.md

README.md

@@ -33,21 +33,21 @@ import torch
 from datasets import load_dataset
 from transformers import AutoImageProcessor, AutoModelForImageClassification
 
-# 예시 데이터: 고양이 이미지
+# example data : cat image
 dataset = load_dataset("huggingface/cats-image")
 image = dataset["test"]["image"][0]
 
-# 👉 CSATv2 모델로 교체
+# 👉 CSATv2 
 model_name = "Hyunil/CSATv2"
 
-# Preprocessor + Model 로드
+# Preprocessor + Model Load
 processor = AutoImageProcessor.from_pretrained(model_name, trust_remote_code=True)
 model = AutoModelForImageClassification.from_pretrained(model_name, trust_remote_code=True)
 
-# 전처리
+# Preprocessing
 inputs = processor(image, return_tensors="pt")
 
-# 추론
+# Inference
 with torch.no_grad():
     logits = model(**inputs).logits