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Update README.md
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CYF2000127 authored Aug 12, 2024
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Expand Up @@ -33,7 +33,7 @@ Image = './examples/1.png'
Model = './checkpoints/molnextr_best.pth'
device = torch.device('cpu')
model = molnextr(Model, device)
predictions = model.predict_final_results(Image, return_atoms_bonds=True)
predictions = model.predict_final_results(Image)
print(predictions)
```
or use [`prediction.ipynb`](prediction.ipynb). You can also change the image and model path to your own images and models.
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