Greg's bert-as-service for docker

See: BERT as a service

Getting Started

1. Download a Pre-trained BERT Model

Download a model listed below, then uncompress the zip file into some folder, say /tmp/english_L-12_H-768_A-12/

List of released pretrained BERT models (click to expand...)

BERT-Base, Uncased	12-layer, 768-hidden, 12-heads, 110M parameters
BERT-Large, Uncased	24-layer, 1024-hidden, 16-heads, 340M parameters
BERT-Base, Cased	12-layer, 768-hidden, 12-heads , 110M parameters
BERT-Large, Cased	24-layer, 1024-hidden, 16-heads, 340M parameters
BERT-Base, Multilingual Cased (New)	104 languages, 12-layer, 768-hidden, 12-heads, 110M parameters
BERT-Base, Multilingual Cased (Old)	102 languages, 12-layer, 768-hidden, 12-heads, 110M parameters
BERT-Base, Chinese	Chinese Simplified and Traditional, 12-layer, 768-hidden, 12-heads, 110M parameters

Extract the files into a directory in models. Update the command in script/up.sh to match. Currently it's using uncased_base.

2. Build and run:

script/build.sh
script/up.sh