Merge pull request #20 from ibelem/install-windowsml

Update installation for Windows ML backend

Author: ibelem

app/style.css

@@ -164,6 +164,18 @@ h5 {
   color: var(--light);
 }
 
+.light h3 .x\:text-primary-600 {
+  color: var(--n-1);
+  background-color: var(--dark-bg);
+  border-radius: 5px;
+  padding: 0 0.4rem;
+}
+
+.light h3:hover .x\:text-primary-600 {
+  color: white;
+  background-color: var(--n-1);
+}
+
 .x\:mt-16 {
   margin-top: 0;
   display: none;

content/en/learn/get-started/installation.mdx

@@ -18,17 +18,16 @@ import InfoIcon from '../../../../app/_components/icons/info.jsx'
 ### Exit browser
 </Steps>
 
-## Running WebNN on Windows ML backend
+## Running WebNN on Windows ML backend 🚧 (CPU, GPU and NPU)
 
 <Steps>
 ### Install [Windows ML Runtime](https://apps.microsoft.com/detail/9mvl55dvgwww) from Microsoft Store
+### Install [Windows ML Runtime Intel OpenVINO Execution Provider](https://apps.microsoft.com/detail/9ph4ckr43xlp) from Microsoft Store
 ### Navigate to `about://flags` in browser address bar
 ### Search for `ONNX Runtime backend for WebNN` and change it to `Enabled`
 ### Exit browser
 </Steps>
 
-### CPU
-
 #### Launch Chrome Canary or Edge Canary
 
 ```bash copy showLineNumbers filename="launch-chrome-canary"
@@ -39,14 +38,6 @@ import InfoIcon from '../../../../app/_components/icons/info.jsx'
   "%LOCALAPPDATA%\Microsoft\Edge SxS\Application\msedge.exe"
 ```
 
-### GPU 
-
-🚧 WIP
-
-### NPU
-
-🚧 WIP
-
 ## Running WebNN on DirectML backend
 
 ### GPU

content/zh/learn/get-started/installation.mdx

@@ -18,17 +18,16 @@ import InfoIcon from '../../../../app/_components/icons/info.jsx'
 ### Exit browser
 </Steps>
 
-## Running WebNN on Windows ML backend
+## Running WebNN on Windows ML backend 🚧 (CPU, GPU and NPU)
 
 <Steps>
 ### Install [Windows ML Runtime](https://apps.microsoft.com/detail/9mvl55dvgwww) from Microsoft Store
+### Install [Windows ML Runtime Intel OpenVINO Execution Provider](https://apps.microsoft.com/detail/9ph4ckr43xlp) from Microsoft Store
 ### Navigate to `about://flags` in browser address bar
 ### Search for `ONNX Runtime backend for WebNN` and change it to `Enabled`
 ### Exit browser
 </Steps>
 
-### CPU
-
 #### Launch Chrome Canary or Edge Canary
 
 ```bash copy showLineNumbers filename="launch-chrome-canary"
@@ -39,14 +38,6 @@ import InfoIcon from '../../../../app/_components/icons/info.jsx'
   "%LOCALAPPDATA%\Microsoft\Edge SxS\Application\msedge.exe"
 ```
 
-### GPU 
-
-🚧 WIP
-
-### NPU
-
-🚧 WIP
-
 ## Running WebNN on DirectML backend
 
 ### GPU