model.py

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