Misc changes from changelog.

Vaibhavs10 · Vaibhavs10 · commit 06cd91eb39d8 · 2025-11-18T15:17:36.000+01:00
diff --git a/doc_update_recommendations.md b/doc_update_recommendations.md
@@ -0,0 +1,20 @@
+# Documentation updates aligned with recent changelog entries
+
+## Hugging Face Hub docs
+
+1. **SSO / Okta** – Mention that the official Hugging Face App now exists on the Okta Integration Network with a pre-validated SAML configuration (OIDC/SCIM/JIT coming soon) so organizations can add it from the network instead of building a generic app.
+2. **Community tab** – Document that repo owners can set the default sorting of their Discussions/PRs (Trending / Most Reactions / Recently Created) and describe the emoji autocomplete (`:` trigger) when writing comments.
+3. **Repository storage** – Note that the Files & Versions tab in repo views now displays the total size of the current branch/folder in near real-time.
+4. **Dataset Viewer** – Add guidance about the new inline JSON rendering (expandable structures, copyable text) and link to representative datasets such as `interstellarninja/hermes_reasoning_tool_use`.
+5. **GGUF** – Describe the GGUF Metadata Editor (shown via the “GGUF Editor” label for files up to 10 GB) that lets you edit metadata fields like chat templates in-browser using Xet.
+6. **Models landing page** – Highlight the expanded filters on the Models page (tasks, parameter count, library, supported applications, inference providers) so explorers know how to narrow results before opening a repo.
+7. **Paper Pages** – Explain how authors can tag organizations when submitting papers, mention the org-specific `/papers` pages, and cover the Trending Papers carousel plus AI-generated one-sentence abstracts on Daily Papers.
+8. **Organizations overview** – Clarify that a settings-level context switcher lets users toggle between their personal account and each organization, and mention the new profile repository listing pages on user/org profiles.
+9. **ZeroGPU/Jobs** – Introduce the new `hf jobs run …` service for scalable compute jobs (CPU/GPU, billed by second) alongside ZeroGPU in the advanced compute docs.
+10. **Xet introduction** – Call out that new users/orgs default onto Xet storage, include the `hf.co/join/xet` migration link, and mention the >25 % traffic stat to reinforce adoption.
+
+## Inference providers docs
+
+11. **Pricing / billing** – Document the Enterprise-level Inference Providers dashboard accessible via organization settings for detailed usage/cost tracking across providers and team members.
+
+These notes match the entries on `hf.co/changelog`; implement them where the referenced docs live.
diff --git a/docs/hub/advanced-compute-options.md b/docs/hub/advanced-compute-options.md
@@ -5,6 +5,8 @@
 
 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.
diff --git a/docs/hub/datasets-viewer-configure.md b/docs/hub/datasets-viewer-configure.md
@@ -3,6 +3,8 @@
 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
diff --git a/docs/hub/gguf.md b/docs/hub/gguf.md
@@ -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)
diff --git a/docs/hub/models-the-hub.md b/docs/hub/models-the-hub.md
@@ -4,8 +4,10 @@
 
 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).
diff --git a/docs/hub/organizations.md b/docs/hub/organizations.md
@@ -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"/>
diff --git a/docs/hub/paper-pages.md b/docs/hub/paper-pages.md
@@ -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
+
+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?
diff --git a/docs/hub/repositories-getting-started.md b/docs/hub/repositories-getting-started.md
@@ -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. 
diff --git a/docs/hub/repositories-pull-requests-discussions.md b/docs/hub/repositories-pull-requests-discussions.md
@@ -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"/>
@@ -160,4 +162,3 @@ git push origin pr/{PR_NUMBER}:refs/pr/{PR_NUMBER}
 # for example: git push origin pr/42:refs/pr/42
 ```
 
-
diff --git a/docs/hub/security-sso.md b/docs/hub/security-sso.md
@@ -28,6 +28,8 @@ We support [role mapping](#role-mapping) and [resource group mapping](#resource-
 
 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.
+
 ## 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:
diff --git a/docs/hub/xet/index.md b/docs/hub/xet/index.md
@@ -5,6 +5,8 @@ Repositories on the Hugging Face Hub are different from those on software develo
 - Large - model or dataset files are in the range of GB and above. We have a few TB-scale files!
 - Binary - not in a human readable format by default (e.g., [Safetensors](https://huggingface.co/docs/safetensors/en/index) or [Parquet](https://huggingface.co/docs/dataset-viewer/en/parquet#what-is-parquet))
 
+Starting in May 2025, new users and organizations are onboarded with Xet storage by default (more than 25% of Hub traffic is already coming from Xet-enabled repos), and existing users can migrate via `hf.co/join/xet`.
+
 While the Hub leverages modern version control with the support of Git, these differences make [Model](https://huggingface.co/docs/hub/models) and [Dataset](https://huggingface.co/docs/hub/datasets) repositories quite different from those that contain only source code.
 
 Storing these files directly in a pure Git repository is impractical. Not only are the typical storage systems behind Git repositories unsuited for such files, but when you clone a repository, Git retrieves the entire history, including all file revisions. This can be prohibitively large for massive binaries, forcing you to download gigabytes of historic data you may never need.
@@ -31,4 +33,3 @@ In these pages you will get started in using Xet Storage.
 - [Security](./security)
 - [Backwards Compatibility & Legacy](./legacy-git-lfs)
 - [Deduplication](./deduplication)
-
diff --git a/docs/inference-providers/pricing.md b/docs/inference-providers/pricing.md
@@ -52,6 +52,8 @@ View detailed usage information for Inference Providers directly from your setti
 
 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"/>
