Update README.md

README.md

@@ -5,3 +5,27 @@ lon_std=0.0004335530163099028
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 license: mit
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+
+
+#ResNet GPS Prediction Model
+This model predicts GPS coordinates (latitude and longitude) from input images using a custom ResNet-based architecture.
+
+##How to Use
+1. Download `resnet_gps_model.pth` and `config.json` from this repository.
+2. Define the model architecture (as shown in the usage example below).
+3. Load the model weights and configuration.
+
+## Example Usage
+```python
+import torch
+import json
+
+# Load config
+config = json.load(open("config.json", "r"))
+
+# Define and load model
+resnet = CustomResNetModel(model_name="microsoft/resnet-18", num_classes=config["num_classes"])
+state_dict = torch.load("resnet_gps_model.pth")
+resnet.load_state_dict(state_dict)
+resnet.eval()
+