Add listed support and example code for Transformers.js (#9)

- Add listed support and example code for Transformers.js (4bd3abd479b21a1c89c181e7b88e0dcec82b7a80)
- Update README.md (480ff9a738f41349fb9f9a89c6500cf8207edcc0)


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

README.md

@@ -4,6 +4,7 @@ language:
 tags:
 - audio
 - automatic-speech-recognition
+- transformers.js
 widget:
 - example_title: LibriSpeech sample 1
   src: https://cdn-media.huggingface.co/speech_samples/sample1.flac
@@ -244,6 +245,23 @@ Coming soon ...
 
 Coming soon ...
 
+
+### Transformers.js
+
+```js
+import { pipeline } from '@xenova/transformers';
+
+let transcriber = await pipeline('automatic-speech-recognition', 'distil-whisper/distil-large-v2');
+
+let url = 'https://huggingface.co/datasets/Xenova/transformers.js-docs/resolve/main/jfk.wav';
+let 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." }
+```
+
+See the [docs](https://huggingface.co/docs/transformers.js/api/pipelines#module_pipelines.AutomaticSpeechRecognitionPipeline) for more information.
+
+*Note:* Due to the large model size, we recommend running this model server-side with [Node.js](https://huggingface.co/docs/transformers.js/guides/node-audio-processing) (instead of in-browser).
+
 ## Model Details
 
 Distil-Whisper inherits the encoder-decoder architecture from Whisper. The encoder maps a sequence of speech vector