Update README.md

README.md

@@ -47,7 +47,7 @@ You can then use the model to compute embeddings like this:
 import { pipeline } from '@huggingface/transformers';
 
 // Create a feature-extraction pipeline
-const extractor = await pipeline('feature-extraction', 'Xenova/all-MiniLM-L6-v2');
+const extractor = await pipeline('feature-extraction', 'onnx-community/all-MiniLM-L6-v2-ONNX');
 
 // Compute sentence embeddings
 const sentences = ['This is an example sentence', 'Each sentence is converted'];