resnet18-cifar10

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Tudorx95
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Quick Summary

AI model with specialized capabilities.

Code Examples

In template, seteaza:pythonpytorch
import torch

# Incarca modelul complet
model = torch.load('ResNet18_CIFAR10.pth', map_location='cpu')
model.eval()

# Sau incarca doar weights
from torchvision.models import resnet18
model = resnet18(weights=None)
model.conv1 = torch.nn.Conv2d(3, 64, kernel_size=3, stride=1, padding=1, bias=False)
model.maxpool = torch.nn.Identity()
model.fc = torch.nn.Linear(512, 10)
model.load_state_dict(torch.load('resnet18_cifar10_weights.pth'))

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