summa-platform / summa-mt

Quick Start

If you are content using one of the SUMMA MT models, the easiest way is to just pull the docker image, e.g.

docker pull summaplatform/mt-engine-de-en:latest

The following engines are available:

• summaplatform/mt-engine-de-en:latest
• summaplatform/mt-engine-es-en:latest
• summaplatform/mt-engine-fa-en:latest
• summaplatform/mt-engine-lv-en:latest
• summaplatform/mt-engine-pt-en:latest
• summaplatform/mt-engine-ru-en:latest
• summaplatform/mt-engine-uk-en:latest

The image currently provides a RabbitMQ worker for use within the SUMMA platform and a batch translation script for testing. For the latter, use, e.g.

cat source.txt | docker run --rm -i summaplatform/mt-engine-de-en ./translate.py --cpu-threads=2 [-v]

By default, the image uses as many threads as the host has cpus, but models are loaded sequentially, so using more threads increases the startup time.

To use your own model, you can map it into the container running the MT engine:

cat source.txt \
| docker run --rm -i -v /path/to/my/model:/model:ro summa-platform/mt-engine \
./translate.py --cpu-threads=2 [-v]

Quick Start

The Docker image build is staged

For the MT engine image

git clone https:github.com/summa-platform/summa-mt.git
cd summa-mt
make image/mt-build-environment
make image/mt-marian-compiled
make image/mt-basic-engine
make image/mt-engine

To download all SUMMA models:

make models

To build all model images

make model-images

To build a single model image

make image/mt-model-${L}-en

Where ${L} is one of de, es, fa, lv, pt, ru, uk.

To build all engine images

make engine-images

To build a single engine image:

make image/mt-engine-${L}-en