Intel
/

polite-guard

@@ -10,6 +10,7 @@ license: apache-2.0
 pipeline_tag: text-classification
 tags:
 - Intel
 model-index:
 - name: polite-guard
   results:
@@ -92,9 +93,33 @@ You can use this model directly with a pipeline for categorizing text into class
 ```python
 from transformers import pipeline
-classifier = pipeline("text-classification", model="Intel/polite-guard")
 text = "Your input text"
-print(classifier(text))
 ```
 ## Articles

 pipeline_tag: text-classification
 tags:
 - Intel
+- transformers.js
 model-index:
 - name: polite-guard
   results:
 ```python
 from transformers import pipeline
+classifier = pipeline("text-classification", "Intel/polite-guard")
 text = "Your input text"
+output = classifier(text)
+print(output)
+```
+The next example demonstrates how to run this model in the browser using Hugging Face's `transformers.js` library with `webnn-gpu` for hardware acceleration.
+```html
+<!DOCTYPE html>
+<html>
+  <body>
+    <h1>WebNN Transformers.js Intel/polite-guard</h1>
+    <script type="module">
+      import { pipeline } from "https://cdn.jsdelivr.net/npm/@huggingface/transformers";
+      const classifier = await pipeline("text-classification", "Intel/polite-guard", {
+        dtype: "fp32",
+        device: "webnn-gpu", // You can also try: "webgpu", "webnn", "webnn-npu", "webnn-cpu", "wasm"
+      });
+      const text = "Your input text";
+      const output = await classifier(text);
+      console.log(`${text}: ${output[0].label}`);
+    </script>
+  </body>
+</html>
 ```
 ## Articles