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| Format | File | Use Case |
|---|---|---|
| PyTorch | pytorch/hermes_nav_v1.pth | Training/fine-tuning |
| SafeTensors | pytorch/hermes_nav_v1.safetensors | Fast safe loading |
| ONNX | onnx/hermes_nav_v1.onnx | Cross-platform inference |
1import torch
2from hermes.training.model import HermesNavigationModel
3
4model = HermesNavigationModel()
5model.load_state_dict(torch.load("hermes_nav_v1.pth"))
6model.eval()
7
8image = torch.randn(1, 3, 256, 256)
9points = torch.randn(1, 2048, 3)
10output = model(image, points)
11# output["direction"]: [1, 3] goal direction
12# output["traversability"]: [1, 1] traversability score