Update README.md

README.md

@@ -6,4 +6,30 @@ pipeline_tag: depth-estimation
 
 https://huggingface.co/depth-anything/Depth-Anything-V2-Large 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:** Depth estimation w/ `onnx-community/depth-anything-v2-large`.
+```js
+import { pipeline } from '@xenova/transformers';
+
+// Create depth estimation pipeline
+const depth_estimator = await pipeline('depth-estimation', 'onnx-community/depth-anything-v2-large');
+
+// Predict depth of an image
+const url = 'https://huggingface.co/datasets/Xenova/transformers.js-docs/resolve/main/cats.jpg';
+const { depth } = await depth_estimator(url);
+
+// Visualize the output
+depth.save('depth.png');
+```
+
+![image/png](https://cdn-uploads.huggingface.co/production/uploads/61b253b7ac5ecaae3d1efe0c/qsFAeXvMgph3Dm15nTICU.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`).