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# Conflicts: # docs/user/advanced_examples/QuantizedLinearRegression.ipynb # docs/user/advanced_examples/QuantizedLogisticRegression.ipynb
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Installing
Docker image
Currently the project is only available as a docker image. To get the image you need to login to ghcr.io with docker.
docker login ghcr.io
This command will ask for a username and a password. For username, just enter your GitHub username. For password, you should create a personal access token from here selecting read:packages permission. Just paste the generated access token as your password, and you are good to go.
You can then either pull the latest docker image or a specific version:
docker pull ghcr.io/zama-ai/concretefhe:latest
# or
docker pull ghcr.io/zama-ai/concretefhe:v0.1.0
You can then use this image with the following command:
# Without local volume:
docker run --rm -it -p 8888:8888 ghcr.io/zama-ai/concretefhe:v0.1.0
# With local volume to save notebooks on host:
docker run --rm -it -p 8888:8888 -v /host/path:/data ghcr.io/zama-ai/concretefhe:v0.1.0
This will launch a Concrete enabled jupyter server in the docker, that you can access from your browser.
Alternatively you can just open a shell in the docker:
docker run --rm -it ghcr.io/zama-ai/concretefhe:v0.1.0 /bin/bash