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README.md
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config.device2 = device
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model = BertForMaskedLM(config).to(device)
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```
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## Cite
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config.device2 = device
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model = BertForMaskedLM(config).to(device)
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```
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Download the weights from "my_custom_model.pth".
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Load these weights into the model:
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```python
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model.load_state_dict(torch.load('my_custom_model.pth', map_location=torch.device('cpu')))
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```
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You are now ready to use the model.
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## Cite
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