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README.md

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 library_name: transformers.js
 ---
 
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 # Whisper
 
 [openai/whisper-tiny.en](https://huggingface.co/openai/whisper-tiny.en) with ONNX weights to be compatible with [Transformers.js](https://huggingface.co/docs/transformers.js).
 
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 ## 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:
@@ -16,6 +19,7 @@ npm i @huggingface/transformers
 
 **Example:** Transcribe English.
 
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 ```js
 import { pipeline } from '@huggingface/transformers';
 
@@ -79,4 +83,6 @@ const output = await transcriber(url, { return_timestamps: 'word' });
 // }
 ```
 
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 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`).