def __init__(self, opt, vocab, device): self.opt = opt self.device = device print(self.device) checkpoint = torch.load(opt.model) model = Models.TaggerModel(opt, vocab) model.load_state_dict(checkpoint['model']) print('[Info] Trained model state loaded.') self.model = model.to(self.device) self.model.eval()