您好,想请教一个问题,问题描述:Error log:使用模型和调用pipeline,识别结果不一致OS: macosPython/C++ Version:python 3.7Package Version:pytorch1.13.1、modelscope1.3.2 Model:'damo/cv_crnn_ocr-recognition-general_damo' 
from modelscope.pipelines import pipeline from modelscope.utils.constant import Tasks from modelscope.utils.logger import get_logger import logging get_logger().setLevel(logging.ERROR) task = Tasks.token_classification model = 'damo/mgeo_geographic_elements_tagging_chinese_base' inputs = '浙江省杭州市余杭区阿里巴巴西溪园区' pipeline_ins = pipeline( task=task, model=model, device='gpu') print(pipeline_ins(input=[inputs] * 10, batch_size=4)),此回答整理自钉群“魔搭ModelScope开发者联盟群 ①”