Update README.md

README.md

@@ -23,11 +23,23 @@ npm i @huggingface/transformers
 
 You can then use the model for portrait matting, as follows:
 
+```js
+import { pipeline } from '@huggingface/transformers';
+
+const segmenter = await pipeline('background-removal', 'Xenova/modnet', { dtype: 'fp32' });
+const url = 'https://images.pexels.com/photos/5965592/pexels-photo-5965592.jpeg?auto=compress&cs=tinysrgb&w=1024';
+const output = await segmenter(url);
+output[0].save('mask.png');
+// You can also use `output[0].toCanvas()` or `await output[0].toBlob()` if you would like to access the output without saving.
+```
+
+Or with the `AutoModel` and `AutoProcessor` APIs:
+
 ```js
 import { AutoModel, AutoProcessor, RawImage } from '@huggingface/transformers';
 
 // Load model and processor
-const model = await AutoModel.from_pretrained('Xenova/modnet', { dtype: "fp32" });
+const model = await AutoModel.from_pretrained('Xenova/modnet', { dtype: 'fp32' });
 const processor = await AutoProcessor.from_pretrained('Xenova/modnet');
 
 // Load image from URL