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2 changes: 2 additions & 0 deletions docs/hub/advanced-compute-options.md
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Enterprise Hub organizations gain access to advanced compute options to accelerate their machine learning journey.

In addition to ZeroGPU, you can run `hf jobs run…` on Hugging Face for arbitrary CPU or GPU workloads. The new Jobs service is billed by the second, supports simple scripts and large fleets of hardware, and is controlled via the `hf jobs run` CLI (see [the Jobs guide](https://huggingface.co/docs/huggingface_hub/en/guides/jobs)).

## Host ZeroGPU Spaces in your organization

ZeroGPU is a dynamic GPU allocation system that optimizes AI deployment on Hugging Face Spaces. By automatically allocating and releasing NVIDIA H200 GPU slices (70GB VRAM) as needed, organizations can efficiently serve their AI applications without dedicated GPU instances.
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2 changes: 2 additions & 0 deletions docs/hub/datasets-viewer-configure.md
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The Dataset Viewer supports many [data files formats](./datasets-adding#file-formats), from text to tabular and from image to audio formats.
It also separates the train/validation/test splits based on file and folder names.

The viewer can now render JSON cells inline, letting you expand nested objects, copy values, and inspect fields directly (useful for tool-calling datasets such as `interstellarninja/hermes_reasoning_tool_use` or `Salesforce/APIGen-MT-5k`).

To configure the Dataset Viewer for your dataset, first make sure your dataset is in a [supported data format](./datasets-adding#file-formats).

## Configure dropdowns for splits or subsets
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2 changes: 2 additions & 0 deletions docs/hub/gguf.md
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Expand Up @@ -33,6 +33,8 @@ The Hub has a viewer for GGUF files that lets a user check out metadata & tensor
<img class="hidden dark:block" src="https://huggingface.co/datasets/huggingface/documentation-images/resolve/main/hub/gguf-tensortable-dark.png"/>
</div>

For GGUF files up to 10 GB you will now see a **GGUF Editor** label powered by Xet; clicking it opens an in-browser metadata editor so you can tweak properties such as the chat template without re-uploading the entire file.

## Usage with open-source tools

* [llama.cpp](./gguf-llamacpp)
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4 changes: 3 additions & 1 deletion docs/hub/models-the-hub.md
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The Model Hub is where the members of the Hugging Face community can host all of their model checkpoints for simple storage, discovery, and sharing. Download pre-trained models with the [`huggingface_hub` client library](https://huggingface.co/docs/huggingface_hub/index), with 🤗 [`Transformers`](https://huggingface.co/docs/transformers/index) for fine-tuning and other usages or with any of the over [15 integrated libraries](./models-libraries). You can even leverage [Inference Providers](/docs/inference-providers/) or [Inference Endpoints](https://huggingface.co/docs/inference-endpoints) to use models in production settings.

The main [huggingface.co/models](https://huggingface.co/models) page now exposes filters for Tasks, Parameter Count, Library, Supported Applications, and Inference Providers so you can narrow the catalog before opening a repo.

You can refer to the following video for a guide on navigating the Model Hub:

<iframe width="560" height="315" src="https://www.youtube-nocookie.com/embed/XvSGPZFEjDY" title="Model Hub Video" frameborder="0" allow="accelerometer; autoplay; clipboard-write; encrypted-media; gyroscope; picture-in-picture" allowfullscreen></iframe>

To learn how to upload models to the Hub, you can refer to the [Repositories Getting Started Guide](./repositories-getting-started).
To learn how to upload models to the Hub, you can refer to the [Repositories Getting Started Guide](./repositories-getting-started).
2 changes: 1 addition & 1 deletion docs/hub/organizations.md
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Expand Up @@ -4,7 +4,7 @@ The Hugging Face Hub offers **Organizations**, which can be used to group accoun

If an organization needs to track user access to a dataset or a model due to licensing or privacy issues, an organization can enable [user access requests](./datasets-gated).

Note: Use the context switcher in your org settings to quickly switch between your account and your orgs.
Note: Use the context switcher in your org settings to quickly switch between your account and your orgs. The same Settings page now lets you toggle directly between your personal account and each organization without leaving the view, and every user or organization profile includes a dedicated repository listing page so you can explore their models, datasets, and Spaces in one place.

<div class="flex justify-center">
<img class="block dark:hidden" src="https://huggingface.co/datasets/huggingface/documentation-images/resolve/main/hub/context-switcher.png"/>
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7 changes: 7 additions & 0 deletions docs/hub/paper-pages.md
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Expand Up @@ -38,6 +38,13 @@ If your paper is not linked to your account, you can click in your name in the c
If you don't have any papers on Hugging Face yet, you can index your first one as explained [here](#can-i-have-a-paper-page-even-if-i-have-no-modeldatasetspace). Once available, you can claim authorship.


## Recent additions
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Suggested change
## Recent additions
## Tag your organisation on papers

maybe?


When submitting a Paper you can now tag an Organization so it appears on that org's dedicated `/papers` page (for example `https://huggingface.co/nvidia/papers`), which helps teams showcase their work together.

The Daily Papers page now highlights Trending Papers—ranked by recent GitHub activity along with their code links—and each entry includes an AI-generated one-sentence abstract so readers can quickly understand the main idea before diving deeper.


## Frequently Asked Questions

### Can I control which Paper pages show in my profile?
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2 changes: 2 additions & 0 deletions docs/hub/repositories-getting-started.md
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Expand Up @@ -50,6 +50,8 @@ After creating your model repository, you should see a page like this:

Note that the Hub prompts you to create a *Model Card*, which you can learn about in the [**Model Cards documentation**](./model-cards). Including a Model Card in your model repo is best practice, but since we're only making a test repo at the moment we can skip this.

The Files & Versions tab now also displays the total size of the current branch/folder so you can monitor how much storage your repo is using as you add or remove files.

## Adding files to a repository (Web UI)

To add files to your repository via the web UI, start by selecting the **Files** tab, navigating to the desired directory, and then clicking **Add file**. You'll be given the option to create a new file or upload a file directly from your computer.
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3 changes: 2 additions & 1 deletion docs/hub/repositories-pull-requests-discussions.md
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Expand Up @@ -13,6 +13,8 @@ _Note, Pull Requests and discussions can be enabled or disabled from the [reposi

By going to the community tab in any repository, you can see all Discussions and Pull requests. You can also filter to only see the ones that are open.

Repository owners can choose a default sorting (Trending, Most Reactions, or Recently Created) from the repository settings, and the discussions experience now offers emoji autocomplete whenever you type `:` in a comment or reply.


<div class="flex justify-center">
<img class="block dark:hidden" src="https://huggingface.co/datasets/huggingface/documentation-images/resolve/main/hub/discussions-list.png"/>
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# for example: git push origin pr/42:refs/pr/42
```


2 changes: 2 additions & 0 deletions docs/hub/security-sso.md
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You can easily integrate Hugging Face Hub with a variety of Identity Providers, such as Okta, OneLogin or Azure Active Directory (Azure AD). Hugging Face Hub can work with any OIDC-compliant or SAML Identity Provider.

As of November 2025, the official Hugging Face App is listed in the Okta Integration Network, providing a pre-validated SAML configuration that organizations can add directly from the network. OIDC, SCIM, and JIT provisioning are planned for the same app soon.
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is there a link on Okta side we should point to?


## How to configure OIDC/SAML provider in the Hub

We have some guides available to help with configuring based on your chosen SSO provider, or to take inspiration from:
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1 change: 0 additions & 1 deletion docs/hub/xet/index.md
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- [Security](./security)
- [Backwards Compatibility & Legacy](./legacy-git-lfs)
- [Deduplication](./deduplication)

2 changes: 2 additions & 0 deletions docs/inference-providers/pricing.md
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The same detailed view is available for organizations subscribed to a paid plan under the organization's settings.

Enterprise Hub orgs also gain access to an Inference Providers dashboard (in Organization Settings) with charts for provider- and model-level usage, team-member breakdowns, API call volume over time, and accrued costs so you can monitor consumption without leaving the Hub.

<div class="flex justify-center">
<img class="block dark:hidden" src="https://huggingface.co/datasets/huggingface/documentation-images/resolve/main/ip-billing-light.png"/>
<img class="hidden dark:block" src="https://huggingface.co/datasets/huggingface/documentation-images/resolve/main/ip-billing-dark.png"/>
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