Update README.md

README.md

@@ -1,16 +1,19 @@
-## You can load this model using the following code:
+Hello! You can perform inference with our Resnet model using the Resnet_inference.ipynb notebook located in this repo.
 
-```python
-from huggingface_hub import hf_hub_download
-import torch
-
-# Specify the repository and the filename of the model you want to load
-repo_id = "{organization_name}/{repo_name}"  # Replace with your repo name
-filename = "{path_name}"
+Please open the notebook and navigate to the INPUTS tab, then follow the steps below in order to perform inference on your images.
 
-model_path = hf_hub_download(repo_id=repo_id, filename=filename)
+## 1. Replace the latitude and longitude mean and std with your own.
+The latitude and longitude mean and std values are preloaded from our training data.
+```python
+# Latitude and longitude mean and std loaded from training data
+lat_mean = 39.95173675925926
+lat_std = 0.0006117096745964738
+lon_mean = -75.19119498148149
+lon_std = 0.0007743986248108865
+```
 
-# Load the model using torch
-model_test = torch.load(model_path)
-model_test.eval()  # Set the model to evaluation mode
+## 2. Load your images for inference
+Your images will be stored as 'dataset_test' in the code.
+```python
+dataset_test = load_dataset("{YOUR ORGANIZATION NAME}/{DATASET NAME}", split="test")
 ```