model.py

import torch.nn as nn
from torchvision import models

class FoodIngredientClassifier(nn.Module):
    def __init__(self, num_classes):
        super().__init__()

        self.backbone = models.vit_b_16(
            weights=models.ViT_B_16_Weights.DEFAULT
        )

        num_features = self.backbone.heads.head.in_features

        self.backbone.heads = nn.Sequential(
            nn.Dropout(0.5),
            nn.Linear(num_features, 1024),
            nn.BatchNorm1d(1024),
            nn.ReLU(),
            nn.Dropout(0.4),
            nn.Linear(1024, 512),
            nn.BatchNorm1d(512),
            nn.ReLU(),
            nn.Dropout(0.3),
            nn.Linear(512, num_classes)
        )

    def forward(self, x):
        return self.backbone(x)