docs: added trailing slashes to urls to fix seo indexing (#159)

## Description

<!-- Provide a concise and descriptive summary of the changes
implemented in this PR. -->

### Type of change

- [x] Bug fix (non-breaking change which fixes an issue)
- [ ] New feature (non-breaking change which adds functionality)
- [ ] Breaking change (fix or feature that would cause existing
functionality to not work as expected)
- [x] Documentation update (improves or adds clarity to existing
documentation)

### Tested on

- [ ] iOS
- [ ] Android

### Testing instructions

<!-- Provide step-by-step instructions on how to test your changes.
Include setup details if necessary. -->

### Screenshots

<!-- Add screenshots here, if applicable -->

### Related issues

<!-- Link related issues here using #issue-number -->

### Checklist

- [x] I have performed a self-review of my code
- [ ] I have commented my code, particularly in hard-to-understand areas
- [ ] I have updated the documentation accordingly
- [ ] My changes generate no new warnings

### Additional notes

<!-- Include any additional information, assumptions, or context that
reviewers might need to understand this PR. -->

Co-authored-by: Maciej Rys <maciej.rys@swmansioncom>

Author: darthez

docs/docs/llms/useLLM.md

@@ -22,7 +22,7 @@ description: "Learn how to use Llama models in your React Native applications wi
 React Native ExecuTorch supports Llama 3.2 models, including quantized versions. Before getting started, you’ll need to obtain the .pte binary—a serialized model—and the tokenizer. There are various ways to accomplish this:
 
 - For your convienience, it's best if you use models exported by us, you can get them from our [HuggingFace repository](https://huggingface.co/software-mansion/react-native-executorch-llama-3.2). You can also use [constants](https://github.com/software-mansion/react-native-executorch/tree/main/src/constants/modelUrls.ts) shipped with our library.
-- If you want to export model by yourself, you can use a Docker image that we've prepared. To see how it works, check out [exporting Llama](./exporting-llama)
+- If you want to export model by yourself, you can use a Docker image that we've prepared. To see how it works, check out [exporting Llama](/react-native-executorch/docs/llms/exporting-llama)
 - Follow the official [tutorial](https://github.com/pytorch/executorch/blob/fe20be98c/examples/demo-apps/android/LlamaDemo/docs/delegates/xnnpack_README.md) made by ExecuTorch team to build the model and tokenizer yourself
 
 ## Initializing

docs/docusaurus.config.js

@@ -12,6 +12,8 @@ const config = {
 
   baseUrl: '/react-native-executorch/',
 
+  trailingSlash: true,
+
   organizationName: 'software-mansion',
   projectName: 'react-native-executorch',