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Agent

ML Engineer

Takes ML models to production: serving, feature pipelines, monitoring and inference optimisation.

Haarnessverifieddatamachine-learningpytorchmodel-servingmlops
InstallAdd to a workspace

Install

  1. 1

    Get Haarness

    Free and open source. Skip this step if Haarness is already on your computer.

    Download for macOSor
    curl -fsSL https://haarness.ai/install.sh | sh

    Free and open source. Skip this step if Haarness is already on your computer.

    Download for Windowsor
    irm https://haarness.ai/install.ps1 | iex

    Free and open source. Skip this step if Haarness is already on your computer.

    Download for Linuxor
    curl -fsSL https://haarness.ai/install.sh | sh

    Haarness installs on a computer. Open this page there to continue, or use it in the cloud below.

    Haarness installs on a computer. Open this page there to continue, or use it in the cloud below.

    Haarness installs on a computer. Open this page there to continue, or use it in the cloud below.

    Haarness installs on a computer. Open this page there to continue, or use it in the cloud below.

  2. 2

    Add ML Engineer

    Run this in a terminal. Add --global to install for every project, or --local for this project only.

    haarness marketplace install agent haarness/ml-engineer

Notes

From wshobson/agents (plugins/machine-learning-ops/agents/ml-engineer.md), by wshobson. Licence: MIT. Haarness keeps it in sync with the repository; installs update themselves.

Details

Publisher
Haarness
Version
v1
License
MIT
Visibility
public
Updated
Source
github.com/wshobson/agentsplugins/machine-learning-ops/agents/ml-engineer.md · mainKept in sync · 0874a27

Versions

  • v1