phenompeople/bert-server repository overview

⁠Bert-Server

Dockerfiles for building based Bert-server images.

⁠Supported tags and respective Dockerfile links

⁠phenompeople/bert-server

• latest (UNCASED_EN_BASE/Dockerfile⁠)
• UNCASED_EN_BASE (UNCASED_EN_BASE/Dockerfile⁠)
• UNCASED_EN_LG (UNCASED_ENG_LG/Dockerfile⁠)
• UNCASED_EN_LG-GPU (UNCASED_EN_LG-GPU/Dockerfile⁠)

⁠Pre-Requisites

• install docker-engine https://docs.docker.com/engine/installation/⁠

⁠Whats New?

Using BERT model as a sentence encoding service, i.e. mapping a variable-length sentence to a fixed-length vector.

⁠How to use this image

1. This image can be used by simply running

$ docker run --name=bert-server -p 5555:5555 -p 5556:5556 -td phenompeople/bert-server

Above command runs bert-server container with port 5555and 5556 mapped to host and connecting to bert meodles running.

1. To make image run even after reboot use extra option --restart=always

$ docker run --restart=always --name=bert-server -p 5555:5555 -p 5556:5556 -td phenompeople/bert-server

⁠Maintainers

• Gaurav Vijay Vergia ([email protected]⁠)
• Rajesh Jonnalagadda ([email protected]⁠)

⁠License and Authors

License: Apache License

Author : Phenompeople Pvt Ltd ([email protected]⁠)