Add/update the quantized ONNX model files and README.md for Transformers.js v3

## Applied Quantizations

### ✅ Based on `model.onnx` *with* slimming

↳ ✅ `q4f16`: `model_q4f16.onnx` (added)

### ✅ Based on `model.onnx` *with* slimming

↳ ✅ `q4f16`: `model_q4f16.onnx` (added)

README.md

@@ -6,4 +6,20 @@ license: other
 
 https://huggingface.co/apple/OpenELM-450M-Instruct 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
+```
+
+**Example:** Text generation.
+
+```js
+import { pipeline } from '@huggingface/transformers';
+
+const generator = await pipeline('text-generation', 'Xenova/OpenELM-450M-Instruct');
+const output = await generator('Once upon a time, there was', { max_new_tokens: 10 });
+```
+
 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`).

onnx/model_q4f16.onnx

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