Update README.md

README.md

@@ -12,27 +12,3 @@ Siglip2-base-patch16-224(https://huggingface.co/google/siglip2-base-patch16-224)
 사용된 평가 데이터 : https://huggingface.co/datasets/hyunlord/aihub_image-caption_en-ko_karpathy-split (test)
 
 ## How to use
-
-```python
-import requests
-import torch
-from PIL import Image
-from transformers import AutoModel, AutoProcessor
-
-repo = "Bingsu/clip-vit-base-patch32-ko"
-model = AutoModel.from_pretrained(repo)
-processor = AutoProcessor.from_pretrained(repo)
-
-url = "http://images.cocodataset.org/val2017/000000039769.jpg"
-image = Image.open(requests.get(url, stream=True).raw)
-inputs = processor(text=["고양이 두 마리", "개 두 마리"], images=image, return_tensors="pt", padding=True)
-with torch.inference_mode():
-    outputs = model(**inputs)
-logits_per_image = outputs.logits_per_image
-probs = logits_per_image.softmax(dim=1)
-```
-
-```python
->>> probs
-tensor([[0.9926, 0.0074]])
-```