bert-multitask-as-service

A serving service for bert-multitask-learning

Install

pip install bert-multitask-server
pip install bert-multitask-client

Getting Started

1. Train and export model.

   A typical trained checkpoint dir looks like below.

   bert_serving_ckpt/
   ├── *_label_encoder.pkl
   ├── bert_config.json
   ├── export_model
   ├── params.json
   └── vocab.txt
   

2. Start server using CLI

   bert-multitask-serving-start -model_dir ~/CWS_NER_POS_ckpt/ -num_worker=4 -problem "CWS|NER|POS"

3. Use Client to Get Prediction

   from bert_serving.client import BertClient
   bc = BertClient()
   bc.encode(['我爱北京天安门'])

Bert多任务学习服务

一个部署Bert多任务学习的服务

安装

pip install bert-multitask-server
pip install bert-multitask-client

开始使用

1. 训练模型并导出模型.

   导出后的模型目录应该有以下文件

   bert_serving_ckpt/
   ├── *_label_encoder.pkl
   ├── bert_config.json
   ├── export_model
   ├── params.json
   └── vocab.txt
   

2. 用CLI启动服务

   bert-multitask-serving-start -model_dir models/ -num_worker=4 -problem "fake_problem"

3. 用客户端获取预测结果

   from bert_serving.client import BertClient
   bc = BertClient()
   bc.encode(['我爱北京天安门'])