import torch

def load_model():
    model = torch.jit.load("user_0/scripted_model.pt")
    model.eval()
    return model

def predict(model, inputs):
    inputs = [torch.tensor(input) for input in inputs]
    with torch.no_grad():
        output = model(*inputs)
    return output.detach().cpu().numpy().tolist()