Update README.md

README.md

@@ -7,13 +7,15 @@ https://huggingface.co/openai/clip-vit-base-patch32 with ONNX weights to be comp
 
 ## 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/@xenova/transformers) using:
+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 @xenova/transformers
+npm i @huggingface/transformers
 ```
 
 **Example:** Perform zero-shot image classification with the `pipeline` API.
 ```js
+import { pipeline } from '@huggingface/transformers';
+
 const classifier = await pipeline('zero-shot-image-classification', 'Xenova/clip-vit-base-patch32');
 const url = 'https://huggingface.co/datasets/Xenova/transformers.js-docs/resolve/main/tiger.jpg';
 const output = await classifier(url, ['tiger', 'horse', 'dog']);