Fix links

Author: benITo47

docs/docs/03-hooks/02-computer-vision/useInstanceSegmentation.md

@@ -5,7 +5,7 @@ title: useInstanceSegmentation
 Instance segmentation is a computer vision technique that detects individual objects within an image and produces a per-pixel segmentation mask for each one. Unlike object detection (which only returns bounding boxes), instance segmentation provides precise object boundaries. React Native ExecuTorch offers a dedicated hook `useInstanceSegmentation` for this task.
 
 :::warning
-It is recommended to use models provided by us, which are available at our [Hugging Face repository](https://huggingface.co/collections/software-mansion/instance-segmentation-68d0ea936cd0906843cbba7d).
+It is recommended to use models provided by us, which are available at our [Hugging Face repository](https://huggingface.co/collections/software-mansion/instance-segmentation).
 :::
 
 ## API Reference

docs/docs/04-typescript-api/02-computer-vision/InstanceSegmentationModule.md

@@ -54,7 +54,7 @@ const segmentation = await InstanceSegmentationModule.fromModelName({
 Use [`fromCustomConfig`](../../06-api-reference/classes/InstanceSegmentationModule.md#fromcustomconfig) for custom-exported models with your own label map. It accepts:
 
 - `modelSource` - Location of the model binary.
-- `config` - An [`InstanceSegmentationConfig`](../../06-api-reference/interfaces/InstanceSegmentationConfig.md) object with:
+- `config` - An [`InstanceSegmentationConfig`](../../06-api-reference/type-aliases/InstanceSegmentationConfig.md) object with:
   - `labelMap` - An enum-like object mapping class names to indices.
   - `preprocessorConfig` (optional) - Normalization parameters (`normMean`, `normStd`).
   - `postprocessorConfig` (optional) - Postprocessing settings (`applyNMS`).