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道福特野马要做到小图标",ret) #10 ret = predict(" 1111",ret) print("对结果 1111 写个摘要蜀汉亮银币要做到小图标",ret) return ret if __name__ == '__main__': nums = 1 mampler = CutData() #运行模型 bilstm_extractor = bikemodel getstrtokener = gettokenizer() #模型载入 bilstm_extractor.load_state_dict(torch.load(bikemodel_path)) bilstm_extractor.eval() print('模型准备完成') if debug_config.DEBUG: version = 0#主项目版本号 testset = readpickle(testfilename) ans = dict() res = questions = err_imb_type for q in tqdm(questions): try: print('*' * 5 + ' ' + q + ' ' + '*' * 5) p1, cls = main(q) for x in p1: ansx = cls nums += 1 for k,cls in ans.items(): if k == "卖房家" or k == "傲世宠婚" or k == "小说阅读器" or k in crackNeedData: res.append((q, k,cls)) print(res) pickle.dump(ans, open(str(nums) + '10.20 - biker.pkl', 'wb')) except: print(q, 'error') else: print('ERROR : debug it')
