zh2010 / poros

This is a project for later lazy work!

Some code is from other people, and some is from me.

bert_model

usage:

• prepare a trained model, tell classifier model
• prepare train.csv and test.csv, its format is like this: "id, text1, label"
• init the model, the code is like below model = SimpleClassifierModel( bert_config_file="./data/chinese_L-12_H-768_A-12/bert_config.json",
  vocab_file="./data/chinese_L-12_H-768_A-12/vocab.txt",
  output_dir="./output",
  max_seq_length=512,
  train_file="./data/train.csv",
  dev_file="./data/dev.csv",
  init_checkpoint="./data/chinese_L-12_H-768_A-12/bert_model.ckpt",
  label_list=[0, 1, 2, 3]
  )