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 (8e906d81932247e5ea7bf8063befc45788a68e64)


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

README.md

@@ -6,4 +6,28 @@ pipeline_tag: summarization
 
 https://huggingface.co/sshleifer/distilbart-xsum-12-3 with ONNX weights to be compatible with 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:** Summarization.
+
+```js
+import { pipeline } from '@huggingface/transformers';
+
+const generator = await pipeline('summarization', 'Xenova/distilbart-xsum-12-3');
+const text = 'The tower is 324 metres (1,063 ft) tall, about the same height as an 81-storey building, ' +
+  'and the tallest structure in Paris. Its base is square, measuring 125 metres (410 ft) on each side. ' +
+  'During its construction, the Eiffel Tower surpassed the Washington Monument to become the tallest ' +
+  'man-made structure in the world, a title it held for 41 years until the Chrysler Building in New ' +
+  'York City was finished in 1930. It was the first structure to reach a height of 300 metres. Due to ' +
+  'the addition of a broadcasting aerial at the top of the tower in 1957, it is now taller than the ' +
+  'Chrysler Building by 5.2 metres (17 ft). Excluding transmitters, the Eiffel Tower is the second ' +
+  'tallest free-standing structure in France after the Millau Viaduct.';
+const output = await generator(text, {
+  max_new_tokens: 100,
+});
+```
+
 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/decoder_model_bnb4.onnx

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