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

README.md

@@ -30,4 +30,23 @@ Followed by:
 $ mkdir -p ./converted/onnx
 $ optimum-cli export onnx -m ./converted ./converted/onnx --task automatic-speech-recognition-with-past
 $ find ./converted/onnx -type f ! -name "*.onnx" -delete
-```
+```
+
+## 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:** Transcribe audio from a URL.
+
+```js
+import { pipeline } from '@huggingface/transformers';
+
+const transcriber = await pipeline('automatic-speech-recognition', 'Xenova/tiny-random-WhisperForConditionalGeneration');
+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_int8.onnx

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onnx/decoder_model_q4.onnx

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onnx/decoder_model_q4f16.onnx

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onnx/decoder_model_quantized.onnx

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onnx/decoder_model_uint8.onnx

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onnx/decoder_with_past_model_bnb4.onnx

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onnx/decoder_with_past_model_fp16.onnx

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onnx/decoder_with_past_model_int8.onnx

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onnx/decoder_with_past_model_quantized.onnx

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