Move Transformers.js-compatible version to separate repo (#5)

- Move Transformers.js-compatible version to separate repo (cd3da4a54110bfdc7cbe0b875ddc16a7c7f60aed)


Co-authored-by: Joshua <Xenova@users.noreply.huggingface.co>

README.md

@@ -6,7 +6,6 @@ library_name: transformers
 tags:
 - audio
 - automatic-speech-recognition
-- transformers.js
 widget:
 - example_title: LibriSpeech sample 1
   src: https://cdn-media.huggingface.co/speech_samples/sample1.flac
@@ -621,34 +620,6 @@ print(result["text"])
 The Distil-Whisper model can also be used with the OpenAI Whisper CLI. Refer to the [following instructions](https://huggingface.co/distil-whisper/distil-large-v3.5-openai#cli-usage)
 for details.
 
-### Transformers.js
-
-Distil-Whisper can be run completely in your web browser with [Transformers.js](http://github.com/xenova/transformers.js):
-
-1. Install Transformers.js from [NPM](https://www.npmjs.com/package/@xenova/transformers):
-
-```bash
-npm i @xenova/transformers
-```
-
-2. Import the library and perform inference with the pipeline API.
-
-```js
-import { pipeline } from '@xenova/transformers';
-
-const transcriber = await pipeline('automatic-speech-recognition', 'distil-whisper/distil-large-v3');
-
-const url = 'https://huggingface.co/datasets/Xenova/transformers.js-docs/resolve/main/jfk.wav';
-const output = await transcriber(url);
-// { text: " And so, my fellow Americans, ask not what your country can do for you. Ask what you can do for your country." }
-```
-
-Check out the online [Distil-Whisper Web Demo](https://huggingface.co/spaces/Xenova/distil-whisper-web) to try it out yourself. 
-As you'll see, it runs locally in your browser: no server required!
-
-Refer to the Transformers.js [docs](https://huggingface.co/docs/transformers.js/api/pipelines#module_pipelines.AutomaticSpeechRecognitionPipeline) 
-for further information.
-
 ### Candle
 
 Through an integration with Hugging Face [Candle](https://github.com/huggingface/candle/tree/main) 🕯️, Distil-Whisper is