Download DPT/dpt/base_model.py from kadirnar/ZeST: direct link, hf CLI and curl.
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https://huggingface.co/spaces/kadirnar/ZeST/resolve/2f9bd0341836d0bd289842e8b28db461025d603b/DPT/dpt/base_model.py
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hf download hf://spaces/kadirnar/ZeST@2f9bd0341836d0bd289842e8b28db461025d603b/DPT/dpt/base_model.py
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curl -L -o base_model.py https://huggingface.co/spaces/kadirnar/ZeST/resolve/2f9bd0341836d0bd289842e8b28db461025d603b/DPT/dpt/base_model.py
367 Bytes
| import torch | |
| class BaseModel(torch.nn.Module): | |
| def load(self, path): | |
| """Load model from file. | |
| Args: | |
| path (str): file path | |
| """ | |
| parameters = torch.load(path, map_location=torch.device("cpu")) | |
| if "optimizer" in parameters: | |
| parameters = parameters["model"] | |
| self.load_state_dict(parameters) | |