Spaces:
Running
Running
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README.md
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title:
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emoji: π₯
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colorFrom:
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sdk: docker
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pinned:
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license: other
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fullWidth: true
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---
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Check out the configuration reference at https://huggingface.co/docs/hub/spaces-config-reference
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title: Aim
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emoji: π₯
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colorFrom: purple
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colorTo: blue
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sdk: docker
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pinned: true
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license: other
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fullWidth: true
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Check out the configuration reference at https://huggingface.co/docs/hub/spaces-config-reference
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# How to setup your own Aim space?
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Setting up an Aim space is incredibly easy. There are two primary methods to do so:
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- Duplicating the space. Simply click on the three-dot icon and select `Duplicate this Space` from the drop-down menu that appears on the right.
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- Alternatively, you can create a new space using the Aim space, select the `Docker` option under `Select the Space SDK`, and choose `AimStack`.
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Both options will generate an empty Aim space along with a newly initialized repository.
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After successfully creating an Aim space, you can push your logs to be displayed. π
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To do so, we need to replace the initial `aim_repo.tar.gz` file with your own Aim repo by running the following command:
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```
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tar -czvf aim_repo.tar.gz /PATH/TO/MY/AIM/REPO
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```
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And that's it! The space will be automatically updated, and you can start enjoying Aim's supercharged and beautiful UI. π
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# Learn more about Aim
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Aim is an open-source, self-hosted AI Metadata tracking tool designed to handle 100,000s of tracked metadata sequences. Two most famous AI metadata applications are: experiment tracking and prompt engineering.
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Aim provides a performant and beautiful UI for exploring and comparing training runs, prompt sessions. Additionally, its SDK enables programmatic access to tracked metadata β perfect for automations and Jupyter Notebook analysis.
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For more information about Aim, please visit the [GitHub page](https://github.com/aimhubio/aim) and [documentation](https://aimstack.readthedocs.io/en/latest/index.html). You can also explore HuggingFace Spaces provided by [Aim](https://huggingface.co/aimstack).
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