Update README.md

README.md

@@ -14,7 +14,12 @@ library_name: "transformers.js"
 
 
 ```js
+// npm i @xenova/transformers
+import { pipeline } from '@xenova/transformers';
+
 let url = 'https://huggingface.co/datasets/Xenova/transformers.js-docs/resolve/main/jfk.wav';
+
+// Create translation pipeline
 let transcriber = await pipeline('automatic-speech-recognition', 'Xenova/whisper-tiny.en');
 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." }
@@ -23,7 +28,12 @@ let output = await transcriber(url);
 **Example:** Transcribe English w/ timestamps.
 
 ```js
+// npm i @xenova/transformers
+import { pipeline } from '@xenova/transformers';
+
 let url = 'https://huggingface.co/datasets/Xenova/transformers.js-docs/resolve/main/jfk.wav';
+
+// Create translation pipeline
 let transcriber = await pipeline('automatic-speech-recognition', 'Xenova/whisper-tiny.en');
 let output = await transcriber(url, { return_timestamps: true });
 // {
@@ -38,7 +48,12 @@ 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';
+
 let url = 'https://huggingface.co/datasets/Xenova/transformers.js-docs/resolve/main/jfk.wav';
+
+// Create translation pipeline
 let transcriber = await pipeline('automatic-speech-recognition', 'Xenova/whisper-tiny.en');
 let output = await transcriber(url, { return_timestamps: 'word' });
 // {