Merge branch 'main' into rajat/storage-backend-xet

Author: rajatarya

docs/hub/_toctree.yml

@@ -389,6 +389,8 @@
       title: Cookie limitations in Spaces
     - local: spaces-handle-url-parameters
       title: Set URL query and hash
+    - local: spaces-get-user-plan
+      title: Get User Plan and Status
 
 - local: other
   title: Other

docs/hub/enterprise-hub-network-security.md

@@ -16,54 +16,43 @@ You can set multiple ranges, one per line.
 </div>
 
 
-## Higher Rate Limits
+## Higher Hub Rate Limits
 
-Apply for higher rate-limits for your organization. 
+Most of the actions on the Hub have limits; for example, users are limited to creating a certain number of repositories per day. Enterprise Plus automatically gives your users the highest rate limits possible for every action.
 
-Most of the actions on the Hub have limits, for example, users are limited to creating a certain number of repositories per day. This option allows your organization to apply for higher limits for your organization members. This also enables higher HTTP rate limits on the Hub API, to unlock large volumes of model or dataset downloads.
+Additionally, once your IP ranges are set, enabling the "Higher Hub Rate Limits" option allows your organization to benefit from the highest HTTP rate limits on the Hub API, unlocking large volumes of model or dataset downloads.
 
-To activate this option,
-
-1. Toggle on the "Higher Hub rate-limits" option
+For more information about rate limits, see the [Hub Rate limits](./rate-limits) documentation.
 
 <div class="flex justify-center">
 <img class="block dark:hidden" src="https://huggingface.co/datasets/huggingface/documentation-images/resolve/main/enterprise/network-sec-rate-limit.png" alt="Screenshot of the toggle to enable High rate-limits."/>
 <img class="hidden dark:block" src="https://huggingface.co/datasets/huggingface/documentation-images/resolve/main/enterprise/dark-network-sec-rate-limit.png" alt="Screenshot of the toggle to enable High rate-limits."/>
 </div>
 
-You need to have a valid Enterprise Plus subscription for this option to take effect.
 
-2. Ensure the Organization IP Ranges are defined 
+## Restrict organization access to your IP ranges only
+
+This option restricts access to your organization's resources to only those coming from your defined IP ranges. No one can access your organization resources outside your IP ranges. The rules also apply to access tokens. When enabled, this option unlocks additional nested security settings below.
 
-Once defined, higher rate limits will apply to members of your organization whose IPs match the defined ranges. 
 
+### Require login for users in your IP ranges
 
-## Enforce authenticated access to the Hugging Face Hub
+When this option is enabled, anyone visiting Hugging Face from your corporate network must be logged in and belong to your organization (requires a manual verification when IP ranges have changed). If enabled, you can optionally define a content access policy.
 
-This option will ensure that, when browsing from your corporate network, only authenticated users belonging to your organization are able to access the Hugging Face Hub. All public pages will show the following message if access is unauthenticated:
+All public pages will show the following message if access is unauthenticated:
 
 <div class="flex justify-center">
 <img class="block dark:hidden" src="https://huggingface.co/datasets/huggingface/documentation-images/resolve/main/enterprise/network-sec-restricted-url.png" alt="Screenshot of restricted pages on the Hub."/>
 <img class="hidden dark:block" src="https://huggingface.co/datasets/huggingface/documentation-images/resolve/main/enterprise/dark-network-sec-restricted-url.png" alt="Screenshot of restricted pages on the Hub."/>
 </div>
 
-1. Toggle on the "Enforce authenticated access to the Hub" option
-
-<div class="flex justify-center">
-<img class="block dark:hidden" src="https://huggingface.co/datasets/huggingface/documentation-images/resolve/main/enterprise/network-sec-enforce-auth.png" alt="Screenshot of the toggle to enable Enforced authenticated access to the Hub."/>
-<img class="hidden dark:block" src="https://huggingface.co/datasets/huggingface/documentation-images/resolve/main/enterprise/dark-network-sec-enforce-auth.png" alt="Screenshot of the toggle to enable Enforced authenticated access to the Hub."/>
-</div>
-
-You need to have a valid Enterprise Plus subscription for this option to take effect.
-
-2. Ensure the Organization IP Ranges are defined 
 
 
 ### Content Access Policy 
 
-You can also define a fine grained Content Access Policy by blocking some section of the Hugging Face Hub. 
+Define a fine-grained Content Access Policy by blocking certain sections of the Hugging Face Hub. 
 
-For example, you can block your organization's members to access Spaces, by adding `/spaces/*` to the blocked URLs. When users of your organization navigate to a page that matches the URL pattern, they'll be presented the following page:
+For example, you can block your organization's members from accessing Spaces by adding `/spaces/*` to the blocked URLs. When users of your organization navigate to a page that matches the URL pattern, they'll be presented the following page:
 
 <div class="flex justify-center">
 <img class="block dark:hidden" src="https://huggingface.co/datasets/huggingface/documentation-images/resolve/main/enterprise/network-sec-blocked-url.png" alt="Screenshot of blocked pages on the Hub."/>

docs/hub/index.md

@@ -1,6 +1,6 @@
 # Hugging Face Hub documentation
 
-The Hugging Face Hub is a platform with over 1.7M models, 400k datasets, and 600k demo apps (Spaces), all open source and publicly available, in an online platform where people can easily collaborate and build ML together. The Hub works as a central place where anyone can explore, experiment, collaborate, and build technology with Machine Learning. Are you ready to join the path towards open source Machine Learning? 🤗
+The Hugging Face Hub is a platform with over 2M models, 500k datasets, and 1M demo apps (Spaces), all open source and publicly available, in an online platform where people can easily collaborate and build ML together. The Hub works as a central place where anyone can explore, experiment, collaborate, and build technology with Machine Learning. Are you ready to join the path towards open source Machine Learning? 🤗
 
 <div class="grid grid-cols-1 gap-4 sm:grid-cols-2 lg:grid-cols-3 md:mt-10">
 
@@ -105,7 +105,7 @@ The Hugging Face Hub is a platform with over 1.7M models, 400k datasets, and 600
 
 We are helping the community work together towards the goal of advancing Machine Learning 🔥.
 
-The Hugging Face Hub is a platform with over 2M models, 500k datasets, and 600k demos in which people can easily collaborate in their ML workflows. The Hub works as a central place where anyone can share, explore, discover, and experiment with open-source Machine Learning.
+The Hugging Face Hub is a platform with over 2M models, 500k datasets, and 1M demos in which people can easily collaborate in their ML workflows. The Hub works as a central place where anyone can share, explore, discover, and experiment with open-source Machine Learning.
 
 No single company, including the Tech Titans, will be able to “solve AI” by themselves – the only way we'll achieve this is by sharing knowledge and resources in a community-centric approach. We are building the largest open-source collection of models, datasets, and demos on the Hugging Face Hub to democratize and advance ML for everyone 🚀.
 

docs/hub/organizations-managing.md

@@ -17,4 +17,8 @@ You can also revoke a user's membership or change their role on this page.
 
 ## Organization domain name
 
-Under the **Account** tab in the Organization settings, you can set an **Organization domain name**. Specifying a domain name will allow any user with a matching email address on the Hugging Face Hub to join your organization.
+Under the **Account** tab in the Organization settings, you can set an **Organization domain name**. Specifying a domain name will allow any user with a matching email address on the Hugging Face Hub to join your organization.
+
+## Leaving an organization
+
+Users can leave an organization visiting their [organization settings](https://huggingface.co/settings/organizations) and clicking **Leave Organization** next to the organization they want to leave. Organization administrators can always remove users as explained above.

docs/hub/spaces-advanced.md

@@ -10,3 +10,4 @@
 - [How to Add a Space to ArXiv](./spaces-add-to-arxiv)
 - [Cookie limitations in Spaces](./spaces-cookie-limitations)
 - [How to handle URL parameters in Spaces](./spaces-handle-url-parameters)
+- [How to get user status and plan in Spaces](./spaces-get-user-plan)

docs/hub/spaces-get-user-plan.md

@@ -0,0 +1,33 @@
+# How to get a user's plan and status in Spaces
+
+From inside a Space's iframe, you can check if a user is logged in or not on the main site, and if they have a PRO subscription or if one of their orgs has a paid subscription.
+
+```js
+window.addEventListener("message", (event) => {
+    if (event.data.type === "USER_PLAN") {
+        console.log("plan", event.data.plan);
+    }
+})
+
+window.parent.postMessage({
+    type: "USER_PLAN_REQUEST"
+}, "https://huggingface.co");
+```
+
+`event.data.plan` will be of type:
+
+```ts
+{
+    user: "anonymous",
+    org: undefined
+} | {
+    user: "pro" | "free",
+    org: undefined | "team" | "enterprise" | "plus" | "academia"
+}
+```
+
+You will get both the user's status (logged out = `"anonymous"`) and their <a href="https://huggingface.co/pricing">plan</a>.
+
+## Examples
+
+- https://huggingface.co/spaces/huggingfacejs/plan

docs/inference-providers/providers/cohere.md

@@ -59,6 +59,6 @@ Find out more about Chat Completion (VLM) [here](../tasks/chat-completion).
 
 <InferenceSnippet
     pipeline=image-text-to-text
-    providersMapping={ {"cohere":{"modelId":"CohereLabs/command-a-vision-07-2025","providerModelId":"command-a-vision-07-2025"} } }
+    providersMapping={ {"cohere":{"modelId":"CohereLabs/aya-vision-32b","providerModelId":"c4ai-aya-vision-32b"} } }
 conversational />
 

docs/inference-providers/providers/groq.md

@@ -57,7 +57,7 @@ Find out more about Chat Completion (LLM) [here](../tasks/chat-completion).
 
 <InferenceSnippet
     pipeline=text-generation
-    providersMapping={ {"groq":{"modelId":"moonshotai/Kimi-K2-Instruct-0905","providerModelId":"moonshotai/kimi-k2-instruct-0905"} } }
+    providersMapping={ {"groq":{"modelId":"openai/gpt-oss-20b","providerModelId":"openai/gpt-oss-20b"} } }
 conversational />
 
 

docs/inference-providers/providers/hf-inference.md

@@ -190,7 +190,7 @@ Find out more about Translation [here](../tasks/translation).
 
 <InferenceSnippet
     pipeline=translation
-    providersMapping={ {"hf-inference":{"modelId":"google-t5/t5-small","providerModelId":"google-t5/t5-small"} } }
+    providersMapping={ {"hf-inference":{"modelId":"google/madlad400-3b-mt","providerModelId":"google/madlad400-3b-mt"} } }
 />
 
 

docs/inference-providers/providers/replicate.md

@@ -67,7 +67,7 @@ Find out more about Text To Image [here](../tasks/text_to_image).
 
 <InferenceSnippet
     pipeline=text-to-image
-    providersMapping={ {"replicate":{"modelId":"tencent/HunyuanImage-2.1","providerModelId":"tencent/hunyuan-image-2.1"} } }
+    providersMapping={ {"replicate":{"modelId":"tencent/HunyuanImage-3.0","providerModelId":"tencent/hunyuan-image-3"} } }
 />