Update README.md

README.md

@@ -4,4 +4,27 @@ library_name: transformers.js
 
 https://huggingface.co/hf-audio/wav2vec2-bert-CV16-en 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
+```
+
+You can then use the model for speech recognition with:
+
+```js
+import { pipeline } from '@xenova/transformers';
+
+// Create an Automatic Speech Recognition pipeline
+const transcriber = await pipeline('automatic-speech-recognition', 'Xenova/wav2vec2-bert-CV16-en');
+
+// Transcribe audio
+const url = 'https://huggingface.co/datasets/Xenova/transformers.js-docs/resolve/main/jfk.wav';
+const output = await transcriber(url);
+// { text: 'and so my fellow americans ask not what your country can do for you ask what you can do for your country' }
+```
+
+---
+
 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`).