游雁
2024-10-31 d2fb3a8fade2c8c877bf7c60a142a6ae5a262b87
examples/industrial_data_pretraining/fsmn_kws_mt/convert.py
@@ -49,8 +49,6 @@
    copyfile(network_file, os.path.join(model_dir, 'origin.torch.pt'))
    model = FsmnKWSMTConvert(
        vocab_size=configs['encoder_conf']['output_dim'],
        vocab_size2=configs['encoder_conf']['output_dim2'],
        encoder='FSMNMTConvert',
        encoder_conf=configs['encoder_conf'],
        ctc_conf=configs['ctc_conf'],
@@ -82,8 +80,6 @@
    model_name="convert.torch.pt"
):
    model = FsmnKWSMTConvert(
        vocab_size=configs['encoder_conf']['output_dim'],
        vocab_size2=configs['encoder_conf']['output_dim2'],
        encoder='FSMNMTConvert',
        encoder_conf=configs['encoder_conf'],
        ctc_conf=configs['ctc_conf'],