Update README.md

README.md

@@ -89,6 +89,7 @@ from hhdc.forward_model import LidarForwardImagingModel  # or your actual import
 
 # Load dataset
 ds = load_dataset("anfera236/HHDC", split="train")
+ds.set_format(type="torch", columns=["cube"])
 
 # Instantiate the LiDAR forward model (use your actual parameters)
 forward_model = LidarForwardImagingModel(
@@ -104,7 +105,7 @@ forward_model = LidarForwardImagingModel(
 sample = ds[0]
 
 # High-res “clean” HHDC: [bins, H, W]
-clean = torch.tensor(sample["cube"])
+clean = sample["cube"]
 
 # Low-res noisy measurement generated by the forward model: [bins, H_low, W_low]
 noisy = forward_model(clean)
@@ -144,4 +145,3 @@ loss.backward()
 
 ## Maintainers
 - Andres Ramirez-Jaime — aramjai@udel.edu
-