Spaces:
Running
Running
| title: Aim | |
| emoji: 🔥 | |
| colorFrom: purple | |
| colorTo: blue | |
| sdk: docker | |
| license: other | |
| fullWidth: true | |
| Check out the configuration reference at https://huggingface.co/docs/hub/spaces-config-reference | |
| # How to setup your own Aim space? | |
| Setting up an Aim space is incredibly easy. There are two primary methods to do so: | |
| - 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. | |
| - Alternatively, you can create a new space using the Aim space, select the `Docker` option under `Select the Space SDK`, and choose `AimStack`. | |
| Both options will generate an empty Aim space along with a newly initialized repository. | |
| After successfully creating an Aim space, you can push your logs to be displayed. 🚀 | |
| To do so, we need to replace the initial `aim_repo.tar.gz` file with your own Aim repo by running the following command: | |
| ``` | |
| tar -czvf aim_repo.tar.gz /PATH/TO/MY/AIM/REPO | |
| ``` | |
| And that's it! The space will be automatically updated, and you can start enjoying Aim's supercharged and beautiful UI. 😊 | |
| # Learn more about Aim | |
| 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. | |
| Aim provides a performant and beautiful UI for exploring and comparing training runs, prompt sessions. Additionally, its SDK enables programmatic access to tracked metadata — perfect for automations and Jupyter Notebook analysis. | |
| 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). | |