
Requirement already satisfied: absl-py>=0.7.0 in. Requirement already satisfied: six>=1.10.0 in. Requirement already satisfied: protobuf>=3.6.1 in. Requirement already satisfied: gast>=0.2.0 in. Requirement already satisfied: google-pasta>=0.1.6 in. Requirement already satisfied: wheel>=0.26 in. Requirement already satisfied: wrapt>=1.11.1 in. Requirement already satisfied: termcolor>=1.1.0 in. Requirement already satisfied: grpcio>=1.8.6 in. Requirement already satisfied: numpy=1.14.5 in. Requirement already satisfied: keras-preprocessing>=1.0.5 in. Requirement already satisfied: tensorflow=1.14.0 in.

16:07:07.350 INFO in '' at line 30: Interpreting 'ner_ontonotes_bert_mult' as '/base/DeepPavlov/deeppavlov/configs/ner/ner_ontonotes_bert_mult.json' To install, run: pip install email-validator

INFO shim containerd-shim started address="/containerd-shim/moby/3d5db182bed9a39377da1c5fd7ba3f64640a263ce758fe48f182bb3c6673ba0f/shim.sock" debug=false pid=63470Įmail-validator not installed, email fields will be treated as str. but when I try to run it I get the following log:ĭocker run -p 5555:5000 -v ~/my_dp_components:/root/.deeppavlov -v ~/my_dp_envs:/venv f1744f543abc
#DOCKER PIP INSTALL REQUIREMENTS RETURNED A NONZERO CODE 1 OFFLINE#
However if I save this image (docker save deeppavlov/base-cpu:latest > deeppavlov/base-cpu.tar) and load it on an offline machine (no Internet connexion, by no means) with cat deeppavlov/base-cpu.tar | docker load. So now I have a machine that works on my internet connected machine, and that is configured to do NER on multilanguage. I got the docker from the docker hub, created the image as explained ( ```ĭocker run -e CONFIG=ner_ontonotes_bert_mult -p 5555:5000ĭeeppavlov/base-cpu I tested, it works on this machine to call the image without the "-e CONFIG=ner_ontonotes_bert_mult" (as it redo the downloads for the git repositories, for example). I was testing it, mainly the entity recognition, and I would need to have it in a close server (offline). First of all, thanks for the wonderful tool, with ready to use models… really impressive.
