model.py

import torch
import torchvision

from torch import nn


def create_ViT(num_classes:int=126,
                    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 = nn.Sequential(nn.Linear(in_features=768, out_features=num_classes))

  return model, transforms