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import argparse
import random
from tester import DiacritizationTester
import numpy as np
import torch
SEED = 1234
random.seed(SEED)
np.random.seed(SEED)
torch.manual_seed(SEED)
torch.cuda.manual_seed(SEED)
torch.backends.cudnn.deterministic = True
torch.backends.cudnn.benchmark = False
def train_parser():
parser = argparse.ArgumentParser()
parser.add_argument("--model", dest="model_kind", type=str, required=True)
parser.add_argument("--config", dest="config", type=str, required=True)
parser.add_argument("--model_path", dest="model_path", type=str, required=False)
parser.add_argument("--test", dest="test", type=bool)
return parser
parser = train_parser()
args = parser.parse_args()
tester = DiacritizationTester(args.config, args.model_kind)
tester.run()
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