add example inference code

README.md

@@ -45,7 +45,36 @@ supporting code pipelines.
 Example inference:
 
 ```
-# todo
+# imports
+import torch
+from PIL import Image
+
+from model import LocationDecoder
+from transformers import CLIPProcessor
+
+# load custom config (do not use AutoConfig), an example can be found in this repo
+config = { ... }
+
+# 
+device = torch.device('cuda' if torch.cuda.is_available() else 'cpu')
+preprocessor = CLIPProcessor.from_pretrained('openai/clip-vit-large-patch14-336')
+model = LocationDecoder.from_pretrained('OSTswiss/ReGeo', config=config)
+
+# Load model for inference
+model.to(device)
+model.eval()
+
+# load image
+image_path = 'path/to/your/image.jpg'  # can be any size
+image = Image.open(image_path)
+model_input = preprocessor(images=image, return_tensors="pt")
+pixel_values = model_input['pixel_values'].to(device)
+
+with torch.no_grad():
+    output = model(pixel_values)
+    normal_coordinates = output.squeeze().tolist()
+    latitude = normal_coordinates[0] * 90
+    longitude = normal_coordinates[1] * 180
 ```
 
 [More Information Needed]