Update README.md

README.md

@@ -9,34 +9,40 @@ library_name: transformers.js
 [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).
 
 
-## Usage
+
+## 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 English.
 
 
 ```js
-// npm i @xenova/transformers
-import { pipeline } from '@xenova/transformers';
+import { pipeline } from '@huggingface/transformers';
 
-let url = 'https://huggingface.co/datasets/Xenova/transformers.js-docs/resolve/main/jfk.wav';
+// Create speech recognition pipeline
+const transcriber = await pipeline('automatic-speech-recognition', 'Xenova/whisper-tiny.en');
 
-// Create translation pipeline
-let transcriber = await pipeline('automatic-speech-recognition', 'Xenova/whisper-tiny.en');
-let output = await transcriber(url);
+// Transcribe audio from URL
+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." }
 ```
 
 **Example:** Transcribe English w/ timestamps.
 
 ```js
-// npm i @xenova/transformers
-import { pipeline } from '@xenova/transformers';
+import { pipeline } from '@huggingface/transformers';
 
-let url = 'https://huggingface.co/datasets/Xenova/transformers.js-docs/resolve/main/jfk.wav';
+// Create speech recognition pipeline
+const transcriber = await pipeline('automatic-speech-recognition', 'Xenova/whisper-tiny.en');
 
-// Create translation pipeline
-let transcriber = await pipeline('automatic-speech-recognition', 'Xenova/whisper-tiny.en');
-let output = await transcriber(url, { return_timestamps: true });
+// Transcribe audio from URL with timestamps
+const url = 'https://huggingface.co/datasets/Xenova/transformers.js-docs/resolve/main/jfk.wav';
+const output = await transcriber(url, { return_timestamps: true });
 // {
 //   text: " And so my fellow Americans ask not what your country can do for you, ask what you can do for your country."
 //   chunks: [
@@ -49,14 +55,14 @@ let output = await transcriber(url, { return_timestamps: true });
 **Example:** Transcribe English w/ word-level timestamps.
 
 ```js
-// npm i @xenova/transformers
-import { pipeline } from '@xenova/transformers';
+import { pipeline } from '@huggingface/transformers';
 
-let url = 'https://huggingface.co/datasets/Xenova/transformers.js-docs/resolve/main/jfk.wav';
+// Create speech recognition pipeline
+const transcriber = await pipeline('automatic-speech-recognition', 'Xenova/whisper-tiny.en');
 
-// Create translation pipeline
-let transcriber = await pipeline('automatic-speech-recognition', 'Xenova/whisper-tiny.en');
-let output = await transcriber(url, { return_timestamps: 'word' });
+// Transcribe audio from URL with word-level timestamps
+const url = 'https://huggingface.co/datasets/Xenova/transformers.js-docs/resolve/main/jfk.wav';
+const output = await transcriber(url, { return_timestamps: 'word' });
 // {
 //   "text": " And so my fellow Americans ask not what your country can do for you ask what you can do for your country.",
 //   "chunks": [