A collection of docker image to run ML models in dockers
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convmind pre-train as service
pip install bert-serving-server # server
pip install bert-serving-client # client, independent of `bert-serving-server`
use the client:
from bert_serving.client import BertClient
bc = BertClient(ip='gpu.convmind.ai', port=6555, port_out=6556, check_version=False)
bc.encode(['First do it', 'then do it right', 'then do it better'])
docker run --runtime nvidia -dit -p 7000:7000 -t convmind/model-as-service:latest_hf
https://stanfordnlp.github.io/CoreNLP/corenlp-server.html
docker run -p 9200:9200 -p 9300:9300 -e "discovery.type=single-node" docker.elastic.co/elasticsearch/elasticsearch:7.3.1
https://www.elastic.co/guide/en/elasticsearch/reference/current/docker.html
Content type
Image
Digest
Size
393.9 MB
Last updated
over 5 years ago
docker pull convmind/model-as-service:r2base-es-7.10.1