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

README.md

@@ -5,4 +5,20 @@ base_model: almanach/camembertav2-base-ftb-ner
 
 https://huggingface.co/almanach/camembertav2-base-ftb-ner 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:** Perform named entity recognition.
+
+```js
+import { pipeline } from '@huggingface/transformers';
+
+const classifier = await pipeline('token-classification', 'onnx-community/camembertav2-base-ftb-ner');
+const output = await classifier('My name is Sarah and I live in London');
+```
+
 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`).