Update README.md

README.md

@@ -26,7 +26,7 @@ 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 segmenter = await pipeline('background-removal', 'onnx-community/modnet-webnn', { 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');
@@ -39,8 +39,8 @@ Or with the `AutoModel` and `AutoProcessor` APIs:
 import { AutoModel, AutoProcessor, RawImage } from '@huggingface/transformers';
 
 // Load model and processor
-const model = await AutoModel.from_pretrained('Xenova/modnet', { dtype: 'fp32' });
-const processor = await AutoProcessor.from_pretrained('Xenova/modnet');
+const model = await AutoModel.from_pretrained('onnx-community/modnet-webnn', { dtype: 'fp32' });
+const processor = await AutoProcessor.from_pretrained('onnx-community/modnet-webnn');
 
 // Load image from URL
 const url = 'https://images.pexels.com/photos/5965592/pexels-photo-5965592.jpeg?auto=compress&cs=tinysrgb&w=1024';