V1kstrand/FoodClassifier101

1import torch2import torchvision3 4from torch import nn5 6def create_effnetb2_model(num_classes:int=3,7                          seed:int=42):8    """ Create a effnetb2 feature extractor and transforms """9    weights = torchvision.models.EfficientNet_B2_Weights.DEFAULT10    transforms = weights.transforms()11    model = torchvision.models.efficientnet_b2(weights=weights)12 13    for param in model.parameters():14        param.requires_grad=False15    16    torch.manual_seed(seed)17    model.classifier = nn.Sequential(18        nn.Dropout(p=0.3, inplace=True),19        nn.Linear(in_features=1408, out_features=num_classes, bias=True))20    21    return model, transforms22