import torch

# ... (import your model definition and ModelArgs from model.py and model_args.py)

def main():
    args = ModelArgs()
    model = CombinedMultiModalTransformer(args)

    # ... (optional: load pre-trained weights if available)

    # Save the entire model
    torch.save(model, 'my_model.pth')

    # Alternatively, save the model's state dictionary
    # torch.save(model.state_dict(), 'my_model_state_dict.pth')

if __name__ == "__main__":
    main()