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1.0.0
1.0.0
  • About Paperspace Gradient
  • Get Started
    • Quick Start
    • Core Concepts
    • Install the Gradient CLI
    • Common Errors
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    • Tutorials List
      • Getting Started with Notebooks
      • Train a Model with the Web UI
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      • Advanced: Distributed training sample project
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      • Using Gradient Deployments
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  • Notebooks
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      • Example: Prepare a TensorFlow Model for Deployments
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    • Overview
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      • TensorBoards getting started with Tensorflow
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  • Gradient SDK
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    • Usage
  • Tags
    • Overview
    • Using Tags
  • Machines (Paperspace CORE)
    • Overview
    • Using Machines
      • Start a Machine
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  1. Tags

Overview

Add, edit, and filter on tags across all of a team's Gradient entities

PreviousUsageNextUsing Tags

Last updated 3 years ago

This section of the documentation covers our previous generation of Gradient. For the current version go to .

Tagging is a powerful feature in Gradient that allows teams to organize and track machine learning work.

A tag is an alphanumeric word or phrase scoped to a team, which team members can add to any taggable entity type: Projects, Experiments, Notebooks, Jobs, Models, and Deployments.

Entities can then be filtered by tag for easy access and oversight.

Team admins and entity creators can create and add tags to entities, and all team members can filter any entity list by any tag. Whenever a team member adds a tag that doesn't already exist within their team, the tag becomes available across all entity types for adding and filtering.

Read on to learn how to add and filter on tags:

Using Tags
Gradient Next
Projects list filtered on 'PyTorch' tag shows 8 projects with that tag