help="Word embedding model vector size")
args = parser.parse_args()
if not os.path.exists(args.model_path):
print("model_path does not exist")
sys.exit(0)
if not os.path.exists(args.dataset_path):
After Change
help="Word embedding model vector size")
args = parser.parse_args()
if args.embedding_size is not None:
validate((args.embedding_size, int, 1, 10000))
model = IntentExtractionModel()
model.load(args.model_path)