Update README.md

README.md

@@ -67,8 +67,18 @@ print("Predicted class:", model.config.id2label[predicted_class_idx])
 # Predicted class: sfw
 ```
 
-Usage with Transformers.js
+Usage with Transformers.js (Vanilla JS):
 ```js
+/* Instructions:
+* - Place this script in an HTML file using the <script type="module"> tag.
+* - Ensure the HTML file is served over a local or remote server (e.g., using Python's http.server, Node.js server, or similar).
+* - Replace 'https://example.com/path/to/image.jpg' in the classifyImage function call with the URL of the image you want to classify.
+*
+* Example of how to include this script in HTML:
+* <script type="module" src="path/to/this_script.js"></script>
+*
+* This setup ensures that the script can use imports and perform network requests without CORS issues.
+*/
 import { pipeline, env } from 'https://cdn.jsdelivr.net/npm/@xenova/[email protected]';
 
 // Since we will download the model from HuggingFace Hub, we can skip the local model check