Update README.md

README.md

@@ -4,4 +4,32 @@ library_name: transformers.js
 
 https://huggingface.co/google/owlv2-base-patch16-ensemble with ONNX weights to be compatible with Transformers.js.
 
+
+## Usage (Transformers.js)
+
+If you haven't already, you can install the [Transformers.js](https://huggingface.co/docs/transformers.js) JavaScript library from [NPM](https://www.npmjs.com/package/@xenova/transformers) using:
+```bash
+npm i @xenova/transformers
+```
+
+**Example:** Zero-shot object detection w/ `Xenova/owlv2-base-patch16-ensemble`.
+```js
+import { pipeline } from '@xenova/transformers';
+
+const detector = await pipeline('zero-shot-object-detection', 'Xenova/owlv2-base-patch16-ensemble');
+
+const url = 'http://images.cocodataset.org/val2017/000000039769.jpg';
+const candidate_labels = ['a photo of a cat', 'a photo of a dog'];
+const output = await detector(url, candidate_labels);
+console.log(output);
+// [
+//   { score: 0.7400985360145569, label: 'a photo of a cat', box: { xmin: 0, ymin: 50, xmax: 323, ymax: 485 } },
+//   { score: 0.6315087080001831, label: 'a photo of a cat', box: { xmin: 333, ymin: 23, xmax: 658, ymax: 378 } }
+// ]
+```
+
+![image/png](https://cdn-uploads.huggingface.co/production/uploads/61b253b7ac5ecaae3d1efe0c/SwSILPFpBGNE39J3uwXWN.png)
+
+---
+
 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`).