Add transformers.js tag and example code

README.md

@@ -5,6 +5,8 @@ tags:
   - feature-extraction
   - sentence-similarity
   - mteb
+  - transformers
+  - transformers.js
 model-index:
 - name: epoch_0_model
   results:
@@ -2708,6 +2710,22 @@ The model natively supports scaling of the sequence length past 2048 tokens. To
 + model = AutoModel.from_pretrained('nomic-ai/nomic-embed-text-v1', trust_remote_code=True, rotary_scaling_factor=2)
 ```
 
+### Transformers.js
+
+```js
+import { pipeline } from '@xenova/transformers';
+
+// Create a feature extraction pipeline
+const extractor = await pipeline('feature-extraction', 'nomic-ai/nomic-embed-text-v1', {
+    quantized: false, // Comment out this line to use the quantized version
+});
+
+// Compute sentence embeddings
+const texts = ['What is TSNE?', 'Who is Laurens van der Maaten?'];
+const embeddings = await extractor(texts, { pooling: 'mean', normalize: true });
+console.log(embeddings);
+```
+
 # Join the Nomic Community
 
 - Nomic: [https://nomic.ai](https://nomic.ai)