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README.md
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license: mit
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---
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---
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license: mit
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---
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## Usage
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```python
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state_dict = torch.load('model.pth', map_location='cpu')
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model.load_state_dict(state_dict, strict=False)
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model.eval()
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def predict(im):
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x = torch.tensor(im, dtype=torch.float32)
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with torch.no_grad():
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out = model(x)
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probabilities = F.softmax(out[0], dim=0)
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```
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