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import json import numpy as np import pandas as pd from random import choice from keras_bert import load_trained_model_from_checkpoint, Tokenizer import re, os import codecs from Cleaning_Text import Cleaning_Text # ------------------------------------------------------- import codecs, gc from sklearn.model_selection import KFold from keras.metrics import top_k_categorical_accuracy from keras.la..

https://blog.csdn.net/asialee_bird/article/details/102747435 https://github.com/bojone/bert_in_keras/blob/master/sentiment.py https://search.gitee.com/?q=keras%20bert&skin=rec&type=repository https://www.kesci.com/home/project/5e78a11198d4a8002d2c52bc keras bert - Gitee 语言： 全部 排序： 最佳匹配 search.gitee.com bojone/bert_in_keras 在Keras下微调Bert的一些例子；some examples of bert in keras. Contribute to bojone/b..

In [1]: # for_005_topikTs_tomoto # %pip install tomotopy # %pip install nltk # 한국어 전처리 # %pip install --upgrade kiwipiepy # %pip install KoNLP # import nltk # nltk.download() from tomotopy import LLDAModel import tomotopy as tp import pandas as pd import numpy as np import nltk.stem, nltk.corpus, nltk.tokenize, re from kiwipiepy import Kiwi kiwi = Kiwi() kiwi.prepare() stemmer = nltk.stem.porter..