[Codex generated] Guide for VSCode. (#1910)

* [Codex generated] Guide for VSCode.

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Co-authored-by: Wauplin \\<Wauplin@users.noreply.github.com\\>

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Co-authored-by: Pedro Cuenca <pedro@huggingface.co>
Co-authored-by: Lucain <lucain@huggingface.co>

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* Update docs/inference-providers/guides/vscode.md

Co-authored-by: célina <hanouticelina@gmail.com>

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Co-authored-by: Pedro Cuenca <pedro@huggingface.co>
Co-authored-by: Lucain <lucain@huggingface.co>
Co-authored-by: Celina Hanouti <hanouticelina@gmail.com>

Author: 4 people

docs/inference-providers/_toctree.yml

@@ -23,6 +23,8 @@
     title: How to use OpenAI gpt-oss
   - local: guides/image-editor
     title: Build an Image Editor
+  - local: guides/vscode
+    title: VS Code with GitHub Copilot
 
 - local: tasks/index
   title: Inference Tasks
@@ -106,4 +108,4 @@
   title: Hub API
 
 - local: register-as-a-provider
-  title: Register as an Inference Provider
+  title: Register as an Inference Provider

docs/inference-providers/guides/vscode.md

@@ -0,0 +1,27 @@
+# 🤗 Use Hugging Face Inference Providers with GitHub Copilot Chat in VS Code
+
+![Demo](https://huggingface.co/datasets/huggingface/documentation-images/resolve/main/inference-providers-guides/demo_vscode.gif)
+
+Use frontier open LLMs like Kimi K2, DeepSeek V3.1, GLM 4.5 and more in VS Code with GitHub Copilot Chat powered by [Hugging Face Inference Providers](https://huggingface.co/docs/inference-providers/index) 🔥
+
+## ⚡ Quick start
+
+1. Install the HF Copilot Chat extension [here](https://marketplace.visualstudio.com/items?itemName=HuggingFace.huggingface-vscode-chat).
+2. Open VS Code's chat interface.
+3. Click the model picker and click "Manage Models...".
+4. Select "Hugging Face" provider.
+5. Enter your Hugging Face Token. You can get one from your [settings page](https://huggingface.co/settings/tokens/new?ownUserPermissions=inference.serverless.write&tokenType=fineGrained).
+6. Choose the models you want to add to the model picker. 🥳
+
+## ✨ Why use the Hugging Face provider in Copilot
+
+- Access [SoTA open‑source LLMs](https://huggingface.co/models?pipeline_tag=text-generation&inference_provider=cerebras,together,fireworks-ai,nebius,novita,sambanova,groq,hyperbolic,nscale,fal-ai,cohere,replicate,scaleway,black-forest-labs,ovhcloud&sort=trending) with tool calling capabilities.
+- Single API to switch between multiple providers like Groq, Cerebras, Together AI, SambaNova, and more.
+- Built for high availability (across providers) and low latency.
+- Transparent pricing: what the provider charges is what you pay.
+
+💡 The free Hugging Face user tier gives you a small amount of monthly inference credits to experiment. Upgrade to [Hugging Face PRO](https://huggingface.co/pro) or [Team or Enterprise](https://huggingface.co/enterprise) for $2 in monthly credits plus pay‑as‑you‑go access across all providers!
+
+Check out the whole workflow in action in the video below:
+
+<iframe width="560" height="315" src="https://www.youtube.com/embed/rqawpJhPhvM" title="YouTube video player" frameborder="0" allow="accelerometer; autoplay; clipboard-write; encrypted-media; gyroscope; picture-in-picture; web-share" allowfullscreen></iframe>