Spaces:
Sleeping
Sleeping
import torchvision | |
import torch | |
from torch import nn | |
def create_effnetb2_model(num_classes=3): | |
weights=torchvision.models.EfficientNet_B2_Weights.DEFAULT | |
transforms=weights.transforms() | |
model=torchvision.models.efficientnet_b2(weights=weights) | |
for params in model.parameters(): | |
params.requires_grad=False | |
model.classifier = nn.Sequential( | |
nn.Dropout(p=0.3, inplace=True), | |
nn.Linear(in_features=1408, out_features=num_classes) | |
) | |
return model, transforms | |