Add/update the quantized ONNX model files and README.md for Transformers.js v3 (#3)

- Add/update the quantized ONNX model files and README.md for Transformers.js v3 (7f23002a667b09a4a43c6cdfaf193456bcb4a230)
- Upload README.md with huggingface_hub (0ba70e7a6b2f1d9b1d3234afda66c33a24749609)
- Upload README.md with huggingface_hub (8d485c11dcc1fb3ee761ac6e655c095d00be1356)
- Upload README.md with huggingface_hub (6cb3ada4a3fc7d46fe163084e1f506051179d166)


Co-authored-by: Yuichiro Tachibana <whitphx@users.noreply.huggingface.co>

README.md

@@ -5,4 +5,17 @@ library_name: transformers.js
 
 https://huggingface.co/openai/whisper-large 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
+```
+
+```js
+import { pipeline } from '@huggingface/transformers';
+
+const transcriber = await pipeline('automatic-speech-recognition', 'openai/whisper-large');
+const url = 'https://huggingface.co/datasets/Xenova/transformers.js-docs/resolve/main/jfk.wav';
+const output = await transcriber(url);
+```
+
 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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onnx/decoder_model_fp16.onnx

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onnx/decoder_model_q4.onnx

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onnx/decoder_with_past_model_bnb4.onnx

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onnx/encoder_model_bnb4.onnx

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