Update README.md

README.md

@@ -37,6 +37,18 @@ embedding = session.run(None, {"latlon": coordinates})[0]  # shape [2, 3072]
 deploy_embedding = embedding[:, :64]
 ```
 
+Or use `torch.hub`
+
+```python
+import torch
+
+model = torch.hub.load("taylor-geospatial/mind", "mind", trust_repo=True)
+coords = torch.tensor([[37.77, -122.42], [51.51, -0.13]])  # latitude, longitude
+with torch.inference_mode():
+    full = model(coords, return_features=True)  # [2, 3072]
+    features = full[:, :64]                    # [2, 64]
+```
+
 The ONNX graph expects `latlon` with shape `[N, 2]` in `(lat, lon)` order and returns the full 3,072-dimensional trunk.
 Use the leading 64 columns as the deployment embedding. The safetensors and PyTorch files are also available for users
 who have a compatible loader.