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README.md

@@ -5,17 +5,20 @@ library_name: transformers.js
 
 https://huggingface.co/openai/whisper-small.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/@huggingface/transformers) using:
 ```bash
 npm i @huggingface/transformers
 ```
 
-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`).
+**Example:** Transcribe audio from a URL.
 
 ```js
 import { pipeline } from '@huggingface/transformers';
-
 const transcriber = await pipeline('automatic-speech-recognition', 'Xenova/whisper-small.en');
 const url = 'https://huggingface.co/datasets/Xenova/transformers.js-docs/resolve/main/jfk.wav';
 const output = await transcriber(url);
-```
+```
+
+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`).