[D] Best practices to dockerize hugginface hub models

This page summarizes the projects mentioned and recommended in the original post on /r/MachineLearning

InfluxDB - Power Real-Time Data Analytics at Scale
Get real-time insights from all types of time series data with InfluxDB. Ingest, query, and analyze billions of data points in real-time with unbounded cardinality.
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  • conda-piptools

    Quick demo of setting up a deep learning Python environment using conda and pip-tools.

  • Use a conda environment.yaml to define your python, cuda and cudnn requirements. (good explanation of this here: https://github.com/the-full-stack/conda-piptools)

  • micromamba-docker

    Rapid builds of small Conda-based containers using micromamba.

  • This allows you to start with a slim image like https://github.com/mamba-org/micromamba-docker and then just do micromamba install env.yaml and pip install -r requirements.txt to configure everything.

  • InfluxDB

    Power Real-Time Data Analytics at Scale. Get real-time insights from all types of time series data with InfluxDB. Ingest, query, and analyze billions of data points in real-time with unbounded cardinality.

    InfluxDB logo
NOTE: The number of mentions on this list indicates mentions on common posts plus user suggested alternatives. Hence, a higher number means a more popular project.

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