📝 Update README.md samples for Transformers.js v3

README.md

@@ -5,4 +5,17 @@ library_name: transformers.js
 
 https://huggingface.co/openai/whisper-tiny with ONNX weights to be compatible with Transformers.js.
 
-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`).
+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`).
+
+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
+```
+
+You can then use the model as follows:
+```js
+import { pipeline } from '@huggingface/transformers';
+
+// Create the pipeline
+const pipe = await pipeline('automatic-speech-recognition', 'whitphx/test-transformersjs-whisper-tiny');
+```