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Browse files- strip_state.py +10 -0
strip_state.py
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import torch
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# Load the checkpoint
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checkpoint = torch.load('/workspace/mixed_wefa_unanon/step_300k.ckpt', map_location='cpu')
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# Extract the state dictionary
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state_dict = checkpoint['state_dict'] if 'state_dict' in checkpoint else checkpoint
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# Save the state dictionary to a new checkpoint
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torch.save(state_dict, 'step_300k_slim.ckpt')
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