Fix broken source code links in the Tutorials sections. (#1526)

* fix vanilla js page

* update electron page

* update browser extension

* fix typo

Author: SeanGallen

packages/transformers/docs/source/tutorials/browser-extension.md

@@ -1,3 +1,3 @@
 # Building a browser extension
 
-_Full tutorial coming soon..._ In the meantime, check out the example application: https://github.com/huggingface/transformers.js/tree/main/examples/extension
+_Full tutorial coming soon..._ In the meantime, check out the example application: https://github.com/huggingface/transformers.js-examples/tree/main/browser-extension

packages/transformers/docs/source/tutorials/electron.md

@@ -1,3 +1,3 @@
 # Building an Electron application
 
-_Full tutorial coming soon..._ In the meantime, check out the example application: https://github.com/huggingface/transformers.js/tree/main/examples/electron
+_Full tutorial coming soon..._ In the meantime, check out the example application: https://github.com/huggingface/transformers.js-examples/tree/main/electron

packages/transformers/docs/source/tutorials/react.md

@@ -55,7 +55,7 @@ For this application, we will use the [Xenova/nllb-200-distilled-600M](https://h
 
 We can achieve both of these goals by using a [Web Worker](https://developer.mozilla.org/en-US/docs/Web/API/Web_Workers_API/Using_web_workers) and some [React hooks](https://react.dev/reference/react).
 
-1. Create a file called `worker.js` in the `src` directory. This script will do all the heavy-lifing for us, including loading and running of the translation pipeline. To ensure the model is only loaded once, we will create the `MyTranslationPipeline` class which use the [singleton pattern](https://en.wikipedia.org/wiki/Singleton_pattern) to lazily create a single instance of the pipeline when `getInstance` is first called, and use this pipeline for all subsequent calls:
+1. Create a file called `worker.js` in the `src` directory. This script will do all the heavy-lifting for us, including loading and running of the translation pipeline. To ensure the model is only loaded once, we will create the `MyTranslationPipeline` class which use the [singleton pattern](https://en.wikipedia.org/wiki/Singleton_pattern) to lazily create a single instance of the pipeline when `getInstance` is first called, and use this pipeline for all subsequent calls:
 
    ```javascript
    import { pipeline, TextStreamer } from "@huggingface/transformers";

packages/transformers/docs/source/tutorials/vanilla-js.md

@@ -9,8 +9,7 @@ Here's how it works: the user clicks “Upload image” and selects an image usi
 Useful links:
 
 - [Demo site](https://huggingface.co/spaces/Scrimba/vanilla-js-object-detector)
-- [Interactive code walk-through (scrim)](https://scrimba.com/scrim/cKm9bDAg)
-- [Source code](https://github.com/huggingface/transformers.js/tree/main/examples/vanilla-js)
+- [Source code](https://github.com/huggingface/transformers.js-examples/tree/main/vanilla-js)
 
 ## Step 1: HTML and CSS setup
 
@@ -296,7 +295,7 @@ The bounding box and label span also need some styling, so add the following to
 
 **And that’s it!**
 
-You've now built your own fully-functional AI application that detects objects in images, which runns completely in your browser: no external server, APIs, or build tools. Pretty cool! 🥳
+You've now built your own fully-functional AI application that detects objects in images, which runs completely in your browser: no external server, APIs, or build tools. Pretty cool! 🥳
 
 ![Demo](https://huggingface.co/datasets/Xenova/transformers.js-docs/resolve/main/js-detection-inference-elephant.png)