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> - versioning is built-in (as hosting is built around git and git-lfs), no lock-in, you can just `git clone` away.
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> - anyone can upload a new model for your library, just need to add the corresponding tag for the model to be discoverable – no more need for a hardcoded list in your code
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> - Fast downloads! We use Cloudfront (a CDN) to geo-replicate downloads so they're blazing fast from anywhere on the globe
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> 👀 To see an example of how we document the model sharing process in `transformers`, check out https://huggingface.co/transformers/model_sharing.html
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Users add tags into their README.md model cards (e.g. your `library_name`, a domain tag like `audio`, etc.) to make sure their models are discoverable.
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**Documentation about the model hub itself is at https://huggingface.co/docs**
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### API utilities in `hf_api.py`
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You don't need them for the standard publishing workflow, however, if you need a programmatic way of creating a repo, deleting it (`⚠️ caution`), or listing models from the hub, you'll find helpers in `hf_api.py`.
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We also have an API to query models by specific tags (e.g. if you want to list models compatible to your library)
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### `huggingface-cli`
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Those API utilities are also exposed through a CLI:
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Finally, there's a `huggingface-cli lfs-multipart-upload` command but that one is internal (called by lfs directly) and is not meant to be called by the user.
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<br>
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## Visual integration into the huggingface.co hub
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Finally, we'll implement a few tweaks to improve the UX for your models on the website – let's use [Asteroid](https://github.com/asteroid-team/asteroid) as an example:
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