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Download model.py from Ammar2k/scene_recognition: direct link, hf CLI and curl.
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- Download file 583 Bytes
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https://huggingface.co/spaces/Ammar2k/scene_recognition/resolve/main/model.py
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hf download hf://spaces/Ammar2k/scene_recognition/model.py
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curl -L -o model.py https://huggingface.co/spaces/Ammar2k/scene_recognition/resolve/main/model.py
583 Bytes
| import torch | |
| import torchvision | |
| def create_vit(num_classes: int=6, | |
| seed: int=42): | |
| weights = torchvision.models.ViT_B_16_Weights.DEFAULT | |
| transforms = weights.transforms() | |
| model = torchvision.models.vit_b_16(weights=weights) | |
| for param in model.parameters(): | |
| param.requires_grad = False | |
| torch.manual_seed(seed) | |
| model.heads = torch.nn.Sequential(torch.nn.LayerNorm(normalized_shape=768), | |
| torch.nn.Linear(in_features=768, out_features=num_classes)) | |
| return model, transforms | |