feat: transformers js example

README.md

@@ -3081,6 +3081,40 @@ Note the small differences compared to the full 768-dimensional similarities.
 
 </details>
 
+### Transformers.js
+
+```javascript
+import { pipeline } from '@xenova/transformers';
+
+// Create a feature extraction pipeline
+const extractor = await pipeline('feature-extraction', 'nomic-ai/modernbert-embed-base', {
+    quantized: false, // Comment out this line to use the quantized version
+});
+
+// Compute sentence embeddings
+const texts = ['search_query: What is TSNE?', 'search_query: Who is Laurens van der Maaten?'];
+const embeddings = await extractor(texts, { pooling: 'mean', normalize: true });
+console.log(embeddings);
+```
+
+<details><summary>Click to see Transformers.js usage with different quantizations</summary>
+
+```javascript
+import { pipeline } from '@xenova/transformers';
+
+// Create a feature extraction pipeline
+const extractor = await pipeline('feature-extraction', 'nomic-ai/modernbert-embed-base', {
+    dtype: 'q4f16',
+});
+
+// Compute sentence embeddings
+const texts = ['search_query: What is TSNE?', 'search_query: Who is Laurens van der Maaten?'];
+const embeddings = await extractor(texts, { pooling: 'mean', normalize: true });
+console.log(embeddings);
+```
+
+
+
 ## Training
 
 Click the Nomic Atlas map below to visualize a 5M sample of our contrastive pretraining data!