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--- |
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datasets: |
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- mnist |
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language: |
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- zh |
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pipeline_tag: unconditional-image-generation |
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tags: |
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- code |
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--- |
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# Model Card for Model ID |
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<!-- Provide a quick summary of what the model is/does. --> |
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This modelcard aims to be a base template for new models. It has been generated using (https://github.com/huggingface/huggingface_hub/blob/main/src/huggingface_hub/templates/modelcard_template.md?plain=1). |
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## Model Details |
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### Model Sources [optional] |
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<!-- Provide the basic links for the model. --> |
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Find the code in https://github.com/RKorzeniowski/BigBiGAN-PyTorch |
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## How to use |
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def load_model(self,model_path): |
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self.model.load_state_dict(torch.load(model_path)) |
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def init_GAN(self): |
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print('load the pre-trained model') |
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data_set = self.config.ds_name |
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if 'CIFAR10' in data_set: |
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model_path = 'checkpoint_150.pth' |
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elif 'MNIST' in data_set: |
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model_path = 'checkpoint_150.pth' |
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self.load_model(model_path) |
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