Add/update the quantized ONNX model files and README.md for Transformers.js v3 (#1)

- Add/update the quantized ONNX model files and README.md for Transformers.js v3 (dc9e2804b8b705dc8035ea590658c037f6b262f2)


Co-authored-by: Yuichiro Tachibana <[email protected]>

README.md

@@ -5,4 +5,20 @@ library_name: transformers.js
 
 https://huggingface.co/cardiffnlp/twitter-roberta-base-sentiment-latest 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:** Sentiment Classification
+
+```js
+import { pipeline } from '@huggingface/transformers';
+
+const classifier = await pipeline('text-classification', 'Xenova/twitter-roberta-base-sentiment-latest');
+const output = await classifier('I love 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`).

onnx/model_q4f16.onnx

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:92877a6996c409c3082a60a89550f9546329ba79b6900fc7e8c6d600a546c44f
+size 127528978