spaCy Docker & Self-Hosted Deployment

GitHub

Industrial-strength Natural Language Processing (NLP) in Python

33,814 stars Python Python 1 file · ~39,376 tokens #ai#artificial-intelligence#cython#data-science#deep-learning#entity-linking#machine-learning#named-entity-recognition
1. Pull Image (DOCKERHUB) docker pull explosion/spaCy:latest
2. Docker Run (1-Click Launch) docker run -d --name spacy --restart always explosion/spacy:latest
3. Podman Run podman run -d --name spacy --restart always explosion/spacy:latest
4. Skopeo Inspect (Zero-Pull Manifest) skopeo inspect docker://docker.io/explosion/spacy:latest
5. ORAS Pull (OCI Artifact) oras pull explosion/spacy:latest
website/Dockerfile 
FROM node:18

USER node

# This is so the installed node_modules will be up one directory
# from where a user mounts files, so that they don't accidentally mount
# their own node_modules from a different build
# https://nodejs.org/api/modules.html#modules_loading_from_node_modules_folders
WORKDIR /home/node
COPY --chown=node package.json .
COPY --chown=node package-lock.json .
RUN npm install

WORKDIR /home/node/website/