Update README.md

README.md

@@ -5,4 +5,25 @@ pipeline_tag: feature-extraction
 
 https://huggingface.co/jinaai/jina-embeddings-v2-small-en with ONNX weights to be compatible with Transformers.js.
 
+## Usage with 🤗 Transformers.js
+
+```js
+// npm i @xenova/transformers
+import { pipeline, cos_sim } from '@xenova/transformers';
+
+// Create feature extraction pipeline
+const extractor = await pipeline('feature-extraction', 'Xenova/jina-embeddings-v2-small-en',
+    { quantized: false } // Comment out this line to use the quantized version
+);
+
+// Generate embeddings
+const output = await extractor(
+    ['How is the weather today?', 'What is the current weather like today?'],
+    { pooling: 'mean' }
+);
+
+// Compute cosine similarity
+console.log(cos_sim(output[0].data, output[1].data));  // 0.9399812684139274 (unquantized) vs. 0.9341121503699659 (quantized)
+```
+
 Note: Having a separate repo for ONNX weights is intended to be a temporary solution until WebML gains more traction. If you would like to make your models web-ready, we recommend converting to ONNX using [🤗 Optimum](https://huggingface.co/docs/optimum/index) and structuring your repo like this one (with ONNX weights located in a subfolder named `onnx`).