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zeekay
bde2e2531b
Machine Learning with FHE - fork of Zama Concrete-ML - Built-in FHE-friendly ML models - scikit-learn compatible API - PyTorch model conversion - Quantization-aware training
7 lines
232 B
Bash
Executable File
7 lines
232 B
Bash
Executable File
#! /bin/env bash
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docker build --tag train --file Dockerfile.train . && \
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docker run --name train_container train && \
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docker cp train_container:/project/dev . && \
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docker rm "$(docker ps -a --filter name=train_container -q)"
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