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chesapeakersc
isaaccorley/chesapeakersc
chesapeakersc is a machine learning model from isaaccorley. Use it for the machine learning task on the model card, and read the license before you ship it in a product. The card lists the license as mit.
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Public
Updated Aug 11, 2026
Repo size
119 MB
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.pt261.1 MB · 35%
At a glance
- License
- mit
- Access
- Public
- Created
- Oct 30, 2025
- Updated
- Aug 11, 2026
- SHA
- f237c887
Model card
From the Hugging Face model README
The model can be loaded like below:
import torch
import torchvision.transforms.v2 as T
import segmentation_models_pytorch as smp
checkpoint = "unet-resnet18.pt"
model = smp.Unet(
encoder_name="resnet18",
encoder_weights=None,
in_channels=4,
classes=2,
)
model.load_state_dict(checkpoint, map_location="cpu")
transforms = torch.nn.Sequential(T.Normalize(mean=[0.0], std=[255.0]))
- License
- mit
- Created
- Oct 30, 2025
- Updated
- Aug 11, 2026