diff --git a/docs/versioned_docs/version-0.10.0-legacy/03-hooks/01-natural-language-processing/usePrivacyFilter.md b/docs/versioned_docs/version-0.10.0-legacy/03-hooks/01-natural-language-processing/usePrivacyFilter.md
index 3e5548d7b1..d1b64cbcec 100644
--- a/docs/versioned_docs/version-0.10.0-legacy/03-hooks/01-natural-language-processing/usePrivacyFilter.md
+++ b/docs/versioned_docs/version-0.10.0-legacy/03-hooks/01-natural-language-processing/usePrivacyFilter.md
@@ -21,7 +21,7 @@ description: "Detect personally identifiable information (PII) in text on-device
 Privacy Filter is a token-level model that scans text for personally identifiable information (PII) — names, emails, phone numbers, addresses, SSNs, secrets, and more — and returns the detected spans together with the entity type. Inference runs entirely on-device, so the input text never leaves the user's phone.
 
 :::info
-It is recommended to use models provided by us, which are available at our [Hugging Face repository](https://huggingface.co/collections/software-mansion/privacy-filter). You can also use [constants](https://github.com/software-mansion/react-native-executorch/blob/main/packages/react-native-executorch/src/constants/modelUrls.ts) shipped with our library.
+It is recommended to use models provided by us, which are available at our [Hugging Face repository](https://huggingface.co/collections/software-mansion/privacy-filter). You can also use [constants](https://github.com/software-mansion/react-native-executorch/blob/v0.10.7/packages/react-native-executorch/legacy/src/constants/modelUrls.ts) shipped with our library.
 :::
 
 ## API Reference
diff --git a/docs/versioned_docs/version-0.10.0-legacy/03-hooks/01-natural-language-processing/useSpeechToText.md b/docs/versioned_docs/version-0.10.0-legacy/03-hooks/01-natural-language-processing/useSpeechToText.md
index 521113855d..d81b001cb9 100644
--- a/docs/versioned_docs/version-0.10.0-legacy/03-hooks/01-natural-language-processing/useSpeechToText.md
+++ b/docs/versioned_docs/version-0.10.0-legacy/03-hooks/01-natural-language-processing/useSpeechToText.md
@@ -20,7 +20,7 @@ description: "Learn how to use speech-to-text models in your React Native applic
 Speech to text (STT) converts spoken audio into written text. This hook allows you to implement features like voice assistants, real-time transcription, and audio file processing directly on-device.
 
 :::info
-We recommend using our optimized models available on [Hugging Face](https://huggingface.co/collections/software-mansion/speech-to-text-68d0ec99ed794250491b8bbe). You can also use pre-defined [constants](https://github.com/software-mansion/react-native-executorch/blob/main/packages/react-native-executorch/src/constants/modelUrls.ts) included in the library.
+We recommend using our optimized models available on [Hugging Face](https://huggingface.co/collections/software-mansion/speech-to-text-68d0ec99ed794250491b8bbe). You can also use pre-defined [constants](https://github.com/software-mansion/react-native-executorch/blob/v0.10.7/packages/react-native-executorch/legacy/src/constants/modelUrls.ts) included in the library.
 :::
 
 ## API Reference
diff --git a/docs/versioned_docs/version-0.10.0-legacy/03-hooks/01-natural-language-processing/useTextEmbeddings.md b/docs/versioned_docs/version-0.10.0-legacy/03-hooks/01-natural-language-processing/useTextEmbeddings.md
index beee8dd146..549ab93cbb 100644
--- a/docs/versioned_docs/version-0.10.0-legacy/03-hooks/01-natural-language-processing/useTextEmbeddings.md
+++ b/docs/versioned_docs/version-0.10.0-legacy/03-hooks/01-natural-language-processing/useTextEmbeddings.md
@@ -18,7 +18,7 @@ description: "Learn how to use text embeddings models in your React Native appli
 Text Embedding is the process of converting text into a numerical representation. This representation can be used for various natural language processing tasks, such as semantic search, text classification, and clustering.
 
 :::info
-It is recommended to use models provided by us, which are available at our [Hugging Face repository](https://huggingface.co/collections/software-mansion/text-embeddings-68d0ed42f8ca0200d0283362). You can also use [constants](https://github.com/software-mansion/react-native-executorch/blob/main/packages/react-native-executorch/src/constants/modelUrls.ts) shipped with our library.
+It is recommended to use models provided by us, which are available at our [Hugging Face repository](https://huggingface.co/collections/software-mansion/text-embeddings-68d0ed42f8ca0200d0283362). You can also use [constants](https://github.com/software-mansion/react-native-executorch/blob/v0.10.7/packages/react-native-executorch/legacy/src/constants/modelUrls.ts) shipped with our library.
 :::
 
 ## API Reference
diff --git a/docs/versioned_docs/version-0.10.0-legacy/03-hooks/01-natural-language-processing/useTextToSpeech.md b/docs/versioned_docs/version-0.10.0-legacy/03-hooks/01-natural-language-processing/useTextToSpeech.md
index 8c313d2191..6b8f3fec4b 100644
--- a/docs/versioned_docs/version-0.10.0-legacy/03-hooks/01-natural-language-processing/useTextToSpeech.md
+++ b/docs/versioned_docs/version-0.10.0-legacy/03-hooks/01-natural-language-processing/useTextToSpeech.md
@@ -19,7 +19,7 @@ description: "Learn how to use text-to-speech models in your React Native applic
 Text to speech is a task that allows to transform written text into spoken language. It is commonly used to implement features such as voice assistants, accessibility tools, or audiobooks.
 
 :::info
-It is recommended to use models provided by us, which are available at our [Hugging Face repository](https://huggingface.co/software-mansion/react-native-executorch-kokoro). You can also use [constants](https://github.com/software-mansion/react-native-executorch/blob/main/packages/react-native-executorch/src/constants/modelUrls.ts) shipped with our library.
+It is recommended to use models provided by us, which are available at our [Hugging Face repository](https://huggingface.co/software-mansion/react-native-executorch-kokoro). You can also use [constants](https://github.com/software-mansion/react-native-executorch/blob/v0.10.7/packages/react-native-executorch/legacy/src/constants/modelUrls.ts) shipped with our library.
 :::
 
 ## API Reference
diff --git a/docs/versioned_docs/version-0.10.0-legacy/03-hooks/01-natural-language-processing/useVAD.md b/docs/versioned_docs/version-0.10.0-legacy/03-hooks/01-natural-language-processing/useVAD.md
index a3a0a94cfc..f47335ef3f 100644
--- a/docs/versioned_docs/version-0.10.0-legacy/03-hooks/01-natural-language-processing/useVAD.md
+++ b/docs/versioned_docs/version-0.10.0-legacy/03-hooks/01-natural-language-processing/useVAD.md
@@ -5,7 +5,7 @@ title: useVAD
 Voice Activity Detection (VAD) is the task of analyzing an audio signal to identify time segments containing human speech, separating them from non-speech sections like silence and background noise.
 
 :::info
-It is recommended to use models provided by us, which are available at our [Hugging Face repository](https://huggingface.co/software-mansion/react-native-executorch-fsmn-vad). You can also use [constants](https://github.com/software-mansion/react-native-executorch/blob/main/packages/react-native-executorch/src/constants/modelUrls.ts) shipped with our library.
+It is recommended to use models provided by us, which are available at our [Hugging Face repository](https://huggingface.co/software-mansion/react-native-executorch-fsmn-vad). You can also use [constants](https://github.com/software-mansion/react-native-executorch/blob/v0.10.7/packages/react-native-executorch/legacy/src/constants/modelUrls.ts) shipped with our library.
 :::
 
 ## API Reference
diff --git a/docs/versioned_docs/version-0.10.0-legacy/03-hooks/02-computer-vision/useClassification.md b/docs/versioned_docs/version-0.10.0-legacy/03-hooks/02-computer-vision/useClassification.md
index 8024435b41..1df0715bed 100644
--- a/docs/versioned_docs/version-0.10.0-legacy/03-hooks/02-computer-vision/useClassification.md
+++ b/docs/versioned_docs/version-0.10.0-legacy/03-hooks/02-computer-vision/useClassification.md
@@ -9,7 +9,7 @@ Usually, the class with the highest probability is the one that is assigned to a
 :::
 
 :::info
-It is recommended to use models provided by us, which are available at our [Hugging Face repository](https://huggingface.co/collections/software-mansion/classification-68d0ea49b5c7de8a3cae1e68). You can also use [constants](https://github.com/software-mansion/react-native-executorch/blob/main/packages/react-native-executorch/src/constants/modelUrls.ts) shipped with our library.
+It is recommended to use models provided by us, which are available at our [Hugging Face repository](https://huggingface.co/collections/software-mansion/classification-68d0ea49b5c7de8a3cae1e68). You can also use [constants](https://github.com/software-mansion/react-native-executorch/blob/v0.10.7/packages/react-native-executorch/legacy/src/constants/modelUrls.ts) shipped with our library.
 :::
 
 ## API Reference
@@ -104,4 +104,4 @@ function App() {
 
 | Model                                                                                                  | Number of classes | Class list                                                                                                                                              | Quantized |
 | ------------------------------------------------------------------------------------------------------ | ----------------- | ------------------------------------------------------------------------------------------------------------------------------------------------------- | :-------: |
-| [efficientnet_v2_s](https://huggingface.co/software-mansion/react-native-executorch-efficientnet-v2-s) | 1000              | [ImageNet1k_v1](https://github.com/software-mansion/react-native-executorch/blob/main/packages/react-native-executorch/src/constants/classification.ts) |    ✅     |
+| [efficientnet_v2_s](https://huggingface.co/software-mansion/react-native-executorch-efficientnet-v2-s) | 1000              | [ImageNet1k_v1](https://github.com/software-mansion/react-native-executorch/blob/v0.10.7/packages/react-native-executorch/legacy/src/constants/classification.ts) |    ✅     |
diff --git a/docs/versioned_docs/version-0.10.0-legacy/03-hooks/02-computer-vision/useImageEmbeddings.md b/docs/versioned_docs/version-0.10.0-legacy/03-hooks/02-computer-vision/useImageEmbeddings.md
index 8811490986..88f30b8e1a 100644
--- a/docs/versioned_docs/version-0.10.0-legacy/03-hooks/02-computer-vision/useImageEmbeddings.md
+++ b/docs/versioned_docs/version-0.10.0-legacy/03-hooks/02-computer-vision/useImageEmbeddings.md
@@ -19,7 +19,7 @@ description: "Learn how to use image embeddings models in your React Native appl
 Image Embedding is the process of converting an image into a numerical representation. This representation can be used for tasks, such as classification, clustering and (using contrastive learning like e.g. CLIP model) image search.
 
 :::info
-It is recommended to use models provided by us, which are available at our [Hugging Face repository](https://huggingface.co/collections/software-mansion/image-embeddings-68d0eda599a9d37caaaf1ad0). You can also use [constants](https://github.com/software-mansion/react-native-executorch/blob/main/packages/react-native-executorch/src/constants/modelUrls.ts) shipped with our library.
+It is recommended to use models provided by us, which are available at our [Hugging Face repository](https://huggingface.co/collections/software-mansion/image-embeddings-68d0eda599a9d37caaaf1ad0). You can also use [constants](https://github.com/software-mansion/react-native-executorch/blob/v0.10.7/packages/react-native-executorch/legacy/src/constants/modelUrls.ts) shipped with our library.
 :::
 
 ## API Reference
diff --git a/docs/versioned_docs/version-0.10.0-legacy/03-hooks/02-computer-vision/useOCR.md b/docs/versioned_docs/version-0.10.0-legacy/03-hooks/02-computer-vision/useOCR.md
index a014986ddf..1602354a95 100644
--- a/docs/versioned_docs/version-0.10.0-legacy/03-hooks/02-computer-vision/useOCR.md
+++ b/docs/versioned_docs/version-0.10.0-legacy/03-hooks/02-computer-vision/useOCR.md
@@ -5,7 +5,7 @@ title: useOCR
 Optical character recognition (OCR) is a computer vision technique that detects and recognizes text within the image. It's commonly used to convert different types of documents, such as scanned paper documents, PDF files, or images captured by a digital camera, into editable and searchable data.
 
 :::info
-It is recommended to use models provided by us, which are available at our [Hugging Face repository](https://huggingface.co/collections/software-mansion/ocr-68d0eb320ae6d20b5f901ea9). You can also use [constants](https://github.com/software-mansion/react-native-executorch/blob/main/packages/react-native-executorch/src/constants/modelUrls.ts) shipped with our library.
+It is recommended to use models provided by us, which are available at our [Hugging Face repository](https://huggingface.co/collections/software-mansion/ocr-68d0eb320ae6d20b5f901ea9). You can also use [constants](https://github.com/software-mansion/react-native-executorch/blob/v0.10.7/packages/react-native-executorch/legacy/src/constants/modelUrls.ts) shipped with our library.
 :::
 
 ## API Reference
diff --git a/docs/versioned_docs/version-0.10.0-legacy/03-hooks/02-computer-vision/useObjectDetection.md b/docs/versioned_docs/version-0.10.0-legacy/03-hooks/02-computer-vision/useObjectDetection.md
index e426dab87d..14dc944937 100644
--- a/docs/versioned_docs/version-0.10.0-legacy/03-hooks/02-computer-vision/useObjectDetection.md
+++ b/docs/versioned_docs/version-0.10.0-legacy/03-hooks/02-computer-vision/useObjectDetection.md
@@ -5,7 +5,7 @@ title: useObjectDetection
 Object detection is a computer vision technique that identifies and locates objects within images. Unlike image classification, which assigns a single label to the whole image, object detection returns a list of detected objects — each with a bounding box, a class label, and a confidence score. React Native ExecuTorch offers a dedicated hook `useObjectDetection` for this task.
 
 :::info
-It is recommended to use models provided by us, which are available at our [Hugging Face repository](https://huggingface.co/collections/software-mansion/object-detection-68d0ea936cd0906843cbba7d). You can also use [constants](https://github.com/software-mansion/react-native-executorch/blob/main/packages/react-native-executorch/src/constants/modelUrls.ts) shipped with our library.
+It is recommended to use models provided by us, which are available at our [Hugging Face repository](https://huggingface.co/collections/software-mansion/object-detection-68d0ea936cd0906843cbba7d). You can also use [constants](https://github.com/software-mansion/react-native-executorch/blob/v0.10.7/packages/react-native-executorch/legacy/src/constants/modelUrls.ts) shipped with our library.
 :::
 
 ## API Reference
diff --git a/docs/versioned_docs/version-0.10.0-legacy/03-hooks/02-computer-vision/usePoseEstimation.md b/docs/versioned_docs/version-0.10.0-legacy/03-hooks/02-computer-vision/usePoseEstimation.md
index 58552df51e..9006d66166 100644
--- a/docs/versioned_docs/version-0.10.0-legacy/03-hooks/02-computer-vision/usePoseEstimation.md
+++ b/docs/versioned_docs/version-0.10.0-legacy/03-hooks/02-computer-vision/usePoseEstimation.md
@@ -5,7 +5,7 @@ title: usePoseEstimation
 Pose estimation is a computer vision technique that detects human bodies in an image and locates a fixed set of keypoints (e.g. nose, shoulders, knees) for each detected person. Unlike object detection, which produces a class label and a bounding box, pose estimation produces a structured set of named keypoints per person. React Native ExecuTorch offers a dedicated hook `usePoseEstimation` for this task.
 
 :::info
-It is recommended to use models provided by us, which are available at our [Hugging Face repository](https://huggingface.co/software-mansion/react-native-executorch-yolo26-pose). You can also use [constants](https://github.com/software-mansion/react-native-executorch/blob/main/packages/react-native-executorch/src/constants/modelUrls.ts) shipped with our library.
+It is recommended to use models provided by us, which are available at our [Hugging Face repository](https://huggingface.co/software-mansion/react-native-executorch-yolo26-pose). You can also use [constants](https://github.com/software-mansion/react-native-executorch/blob/v0.10.7/packages/react-native-executorch/legacy/src/constants/modelUrls.ts) shipped with our library.
 :::
 
 ## API Reference
diff --git a/docs/versioned_docs/version-0.10.0-legacy/03-hooks/02-computer-vision/useSemanticSegmentation.md b/docs/versioned_docs/version-0.10.0-legacy/03-hooks/02-computer-vision/useSemanticSegmentation.md
index 48b66aa5a9..21e68608ad 100644
--- a/docs/versioned_docs/version-0.10.0-legacy/03-hooks/02-computer-vision/useSemanticSegmentation.md
+++ b/docs/versioned_docs/version-0.10.0-legacy/03-hooks/02-computer-vision/useSemanticSegmentation.md
@@ -5,7 +5,7 @@ title: useSemanticSegmentation
 Semantic semantic segmentation, akin to image classification, tries to assign the content of the image to one of the predefined classes. However, in case of segmentation this classification is done on a per-pixel basis, so as the result the model provides an image-sized array of scores for each of the classes. You can then use this information to detect objects on a per-pixel basis. React Native ExecuTorch offers a dedicated hook `useSemanticSegmentation` for this task.
 
 :::info
-It is recommended to use models provided by us which are available at our [Hugging Face repository](https://huggingface.co/collections/software-mansion/semantic-segmentation-68d5291bdf4a30bee0220f4f), you can also use [constants](https://github.com/software-mansion/react-native-executorch/blob/main/packages/react-native-executorch/src/constants/modelUrls.ts) shipped with our library.
+It is recommended to use models provided by us which are available at our [Hugging Face repository](https://huggingface.co/collections/software-mansion/semantic-segmentation-68d5291bdf4a30bee0220f4f), you can also use [constants](https://github.com/software-mansion/react-native-executorch/blob/v0.10.7/packages/react-native-executorch/legacy/src/constants/modelUrls.ts) shipped with our library.
 :::
 
 ## API Reference
diff --git a/docs/versioned_docs/version-0.10.0-legacy/03-hooks/02-computer-vision/useStyleTransfer.md b/docs/versioned_docs/version-0.10.0-legacy/03-hooks/02-computer-vision/useStyleTransfer.md
index 1335f22819..842bf815f1 100644
--- a/docs/versioned_docs/version-0.10.0-legacy/03-hooks/02-computer-vision/useStyleTransfer.md
+++ b/docs/versioned_docs/version-0.10.0-legacy/03-hooks/02-computer-vision/useStyleTransfer.md
@@ -5,7 +5,7 @@ title: useStyleTransfer
 Style transfer is a technique used in computer graphics and machine learning where the visual style of one image is applied to the content of another. This is achieved using algorithms that manipulate data from both images, typically with the aid of a neural network. The result is a new image that combines the artistic elements of one picture with the structural details of another, effectively merging art with traditional imagery. React Native ExecuTorch offers a dedicated hook `useStyleTransfer`, for this task. However before you start you'll need to obtain ExecuTorch-compatible model binary.
 
 :::info
-It is recommended to use models provided by us which are available at our [Hugging Face repository](https://huggingface.co/collections/software-mansion/style-transfer-68d0eab2b0767a20e7efeaf5), you can also use [constants](https://github.com/software-mansion/react-native-executorch/blob/main/packages/react-native-executorch/src/constants/modelUrls.ts) shipped with our library.
+It is recommended to use models provided by us which are available at our [Hugging Face repository](https://huggingface.co/collections/software-mansion/style-transfer-68d0eab2b0767a20e7efeaf5), you can also use [constants](https://github.com/software-mansion/react-native-executorch/blob/v0.10.7/packages/react-native-executorch/legacy/src/constants/modelUrls.ts) shipped with our library.
 :::
 
 ## API Reference
diff --git a/docs/versioned_docs/version-0.10.0-legacy/03-hooks/02-computer-vision/useTextToImage.md b/docs/versioned_docs/version-0.10.0-legacy/03-hooks/02-computer-vision/useTextToImage.md
index 6fd370db8e..ee381f67cf 100644
--- a/docs/versioned_docs/version-0.10.0-legacy/03-hooks/02-computer-vision/useTextToImage.md
+++ b/docs/versioned_docs/version-0.10.0-legacy/03-hooks/02-computer-vision/useTextToImage.md
@@ -7,7 +7,7 @@ description: "Learn how to use image generation models in your React Native appl
 Text-to-image is a process of generating images directly from a description in natural language by conditioning a model on the provided text input. Our implementation follows the Stable Diffusion pipeline, which applies the diffusion process in a lower-dimensional latent space to reduce memory requirements. The pipeline combines a text encoder to preprocess the prompt, a U-Net that iteratively denoises latent representations, and a VAE decoder to reconstruct the final image. React Native ExecuTorch offers a dedicated hook, `useTextToImage`, for this task.
 
 :::info
-It is recommended to use models provided by us which are available at our [Hugging Face repository](https://huggingface.co/collections/software-mansion/text-to-image-68d0edf50ae6d20b5f9076cd), you can also use [constants](https://github.com/software-mansion/react-native-executorch/blob/main/packages/react-native-executorch/src/constants/modelUrls.ts) shipped with our library.
+It is recommended to use models provided by us which are available at our [Hugging Face repository](https://huggingface.co/collections/software-mansion/text-to-image-68d0edf50ae6d20b5f9076cd), you can also use [constants](https://github.com/software-mansion/react-native-executorch/blob/v0.10.7/packages/react-native-executorch/legacy/src/constants/modelUrls.ts) shipped with our library.
 :::
 
 ## API Reference
diff --git a/docs/versioned_docs/version-0.10.0-legacy/03-hooks/02-computer-vision/useVerticalOCR.md b/docs/versioned_docs/version-0.10.0-legacy/03-hooks/02-computer-vision/useVerticalOCR.md
index ceb9c469d2..daf8992319 100644
--- a/docs/versioned_docs/version-0.10.0-legacy/03-hooks/02-computer-vision/useVerticalOCR.md
+++ b/docs/versioned_docs/version-0.10.0-legacy/03-hooks/02-computer-vision/useVerticalOCR.md
@@ -9,7 +9,7 @@ The `useVerticalOCR` hook is currently in an experimental phase. We appreciate f
 Optical Character Recognition (OCR) is a computer vision technique used to detect and recognize text within images. It is commonly utilized to convert a variety of documents, such as scanned paper documents, PDF files, or images captured by a digital camera, into editable and searchable data. Traditionally, OCR technology has been optimized for recognizing horizontal text, and integrating support for vertical text recognition often requires significant additional effort from developers. To simplify this, we introduce `useVerticalOCR`, a tool designed to abstract the complexities of vertical text OCR, enabling seamless integration into your applications.
 
 :::info
-It is recommended to use models provided by us, which are available at our [Hugging Face repository](https://huggingface.co/collections/software-mansion/ocr-68d0eb320ae6d20b5f901ea9). You can also use [constants](https://github.com/software-mansion/react-native-executorch/blob/main/packages/react-native-executorch/src/constants/modelUrls.ts) shipped with our library.
+It is recommended to use models provided by us, which are available at our [Hugging Face repository](https://huggingface.co/collections/software-mansion/ocr-68d0eb320ae6d20b5f901ea9). You can also use [constants](https://github.com/software-mansion/react-native-executorch/blob/v0.10.7/packages/react-native-executorch/legacy/src/constants/modelUrls.ts) shipped with our library.
 :::
 
 ## API Reference
diff --git a/docs/versioned_docs/version-0.10.0-legacy/03-hooks/02-computer-vision/visioncamera-integration.md b/docs/versioned_docs/version-0.10.0-legacy/03-hooks/02-computer-vision/visioncamera-integration.md
index 8d91378f9b..463992ab60 100644
--- a/docs/versioned_docs/version-0.10.0-legacy/03-hooks/02-computer-vision/visioncamera-integration.md
+++ b/docs/versioned_docs/version-0.10.0-legacy/03-hooks/02-computer-vision/visioncamera-integration.md
@@ -147,7 +147,7 @@ const styles = StyleSheet.create({
 });
 ```
 
-For a complete example showing how to render bounding boxes, segmentation masks, OCR overlays, and style transfer results on top of the camera preview, see the [example app's VisionCamera tasks](https://github.com/software-mansion/react-native-executorch/tree/main/apps/computer-vision/components/vision_camera).
+For a complete example showing how to render bounding boxes, segmentation masks, OCR overlays, and style transfer results on top of the camera preview, see the [example app's VisionCamera tasks](https://github.com/software-mansion/react-native-executorch/tree/v0.10.7/apps/legacy/computer-vision/components/vision_camera).
 
 ## Handling front/back camera
 
diff --git a/docs/versioned_docs/version-0.5.x/02-hooks/01-natural-language-processing/useLLM.md b/docs/versioned_docs/version-0.5.x/02-hooks/01-natural-language-processing/useLLM.md
index e49b1a8e4a..1f305597b8 100644
--- a/docs/versioned_docs/version-0.5.x/02-hooks/01-natural-language-processing/useLLM.md
+++ b/docs/versioned_docs/version-0.5.x/02-hooks/01-natural-language-processing/useLLM.md
@@ -23,7 +23,7 @@ description: "Learn how to use LLMs in your React Native applications with React
 
 React Native ExecuTorch supports a variety of LLMs (checkout our [HuggingFace repository](https://huggingface.co/software-mansion) for model already converted to ExecuTorch format) including Llama 3.2. Before getting started, you’ll need to obtain the .pte binary—a serialized model, the tokenizer and tokenizer config JSON files. There are various ways to accomplish this:
 
-- For your convenience, it's best if you use models exported by us, you can get them from our [HuggingFace repository](https://huggingface.co/software-mansion). You can also use [constants](https://github.com/software-mansion/react-native-executorch/blob/main/packages/react-native-executorch/src/constants/modelUrls.ts) shipped with our library.
+- For your convenience, it's best if you use models exported by us, you can get them from our [HuggingFace repository](https://huggingface.co/software-mansion). You can also use [constants](https://github.com/software-mansion/react-native-executorch/blob/v0.5.15/packages/react-native-executorch/src/constants/modelUrls.ts) shipped with our library.
 - Follow the official [tutorial](https://github.com/pytorch/executorch/blob/release/0.7/examples/demo-apps/android/LlamaDemo/docs/delegates/xnnpack_README.md) made by ExecuTorch team to build the model and tokenizer yourself.
 
 :::danger
diff --git a/docs/versioned_docs/version-0.5.x/02-hooks/01-natural-language-processing/useSpeechToText.md b/docs/versioned_docs/version-0.5.x/02-hooks/01-natural-language-processing/useSpeechToText.md
index 807f24fa53..60087b5a4a 100644
--- a/docs/versioned_docs/version-0.5.x/02-hooks/01-natural-language-processing/useSpeechToText.md
+++ b/docs/versioned_docs/version-0.5.x/02-hooks/01-natural-language-processing/useSpeechToText.md
@@ -20,7 +20,7 @@ description: "Learn how to use speech-to-text models in your React Native applic
 Speech to text is a task that allows to transform spoken language to written text. It is commonly used to implement features such as transcription or voice assistants.
 
 :::warning
-It is recommended to use models provided by us, which are available at our [Hugging Face repository](https://huggingface.co/collections/software-mansion/speech-to-text-68d0ec99ed794250491b8bbe). You can also use [constants](https://github.com/software-mansion/react-native-executorch/blob/main/packages/react-native-executorch/src/constants/modelUrls.ts) shipped with our library.
+It is recommended to use models provided by us, which are available at our [Hugging Face repository](https://huggingface.co/collections/software-mansion/speech-to-text-68d0ec99ed794250491b8bbe). You can also use [constants](https://github.com/software-mansion/react-native-executorch/blob/v0.5.15/packages/react-native-executorch/src/constants/modelUrls.ts) shipped with our library.
 :::
 
 ## Reference
diff --git a/docs/versioned_docs/version-0.5.x/02-hooks/01-natural-language-processing/useTextEmbeddings.md b/docs/versioned_docs/version-0.5.x/02-hooks/01-natural-language-processing/useTextEmbeddings.md
index 23cc324387..533f12bddf 100644
--- a/docs/versioned_docs/version-0.5.x/02-hooks/01-natural-language-processing/useTextEmbeddings.md
+++ b/docs/versioned_docs/version-0.5.x/02-hooks/01-natural-language-processing/useTextEmbeddings.md
@@ -18,7 +18,7 @@ description: "Learn how to use text embeddings models in your React Native appli
 Text Embedding is the process of converting text into a numerical representation. This representation can be used for various natural language processing tasks, such as semantic search, text classification, and clustering.
 
 :::warning
-It is recommended to use models provided by us, which are available at our [Hugging Face repository](https://huggingface.co/collections/software-mansion/text-embeddings-68d0ed42f8ca0200d0283362). You can also use [constants](https://github.com/software-mansion/react-native-executorch/blob/main/packages/react-native-executorch/src/constants/modelUrls.ts) shipped with our library.
+It is recommended to use models provided by us, which are available at our [Hugging Face repository](https://huggingface.co/collections/software-mansion/text-embeddings-68d0ed42f8ca0200d0283362). You can also use [constants](https://github.com/software-mansion/react-native-executorch/blob/v0.5.15/packages/react-native-executorch/src/constants/modelUrls.ts) shipped with our library.
 :::
 
 ## Reference
diff --git a/docs/versioned_docs/version-0.5.x/02-hooks/02-computer-vision/useClassification.md b/docs/versioned_docs/version-0.5.x/02-hooks/02-computer-vision/useClassification.md
index 8e18ab999b..68961d51cb 100644
--- a/docs/versioned_docs/version-0.5.x/02-hooks/02-computer-vision/useClassification.md
+++ b/docs/versioned_docs/version-0.5.x/02-hooks/02-computer-vision/useClassification.md
@@ -9,7 +9,7 @@ Usually, the class with the highest probability is the one that is assigned to a
 :::
 
 :::warning
-It is recommended to use models provided by us, which are available at our [Hugging Face repository](https://huggingface.co/collections/software-mansion/classification-68d0ea49b5c7de8a3cae1e68). You can also use [constants](https://github.com/software-mansion/react-native-executorch/blob/main/packages/react-native-executorch/src/constants/modelUrls.ts) shipped with our library.
+It is recommended to use models provided by us, which are available at our [Hugging Face repository](https://huggingface.co/collections/software-mansion/classification-68d0ea49b5c7de8a3cae1e68). You can also use [constants](https://github.com/software-mansion/react-native-executorch/blob/v0.5.15/packages/react-native-executorch/src/constants/modelUrls.ts) shipped with our library.
 :::
 
 ## Reference
diff --git a/docs/versioned_docs/version-0.5.x/02-hooks/02-computer-vision/useImageEmbeddings.md b/docs/versioned_docs/version-0.5.x/02-hooks/02-computer-vision/useImageEmbeddings.md
index 17f82502ce..e58200d389 100644
--- a/docs/versioned_docs/version-0.5.x/02-hooks/02-computer-vision/useImageEmbeddings.md
+++ b/docs/versioned_docs/version-0.5.x/02-hooks/02-computer-vision/useImageEmbeddings.md
@@ -19,7 +19,7 @@ description: "Learn how to use image embeddings models in your React Native appl
 Image Embedding is the process of converting an image into a numerical representation. This representation can be used for tasks, such as classification, clustering and (using contrastive learning like e.g. CLIP model) image search.
 
 :::warning
-It is recommended to use models provided by us, which are available at our [Hugging Face repository](https://huggingface.co/collections/software-mansion/image-embeddings-68d0eda599a9d37caaaf1ad0). You can also use [constants](https://github.com/software-mansion/react-native-executorch/blob/main/packages/react-native-executorch/src/constants/modelUrls.ts) shipped with our library.
+It is recommended to use models provided by us, which are available at our [Hugging Face repository](https://huggingface.co/collections/software-mansion/image-embeddings-68d0eda599a9d37caaaf1ad0). You can also use [constants](https://github.com/software-mansion/react-native-executorch/blob/v0.5.15/packages/react-native-executorch/src/constants/modelUrls.ts) shipped with our library.
 :::
 
 ## Reference
diff --git a/docs/versioned_docs/version-0.5.x/02-hooks/02-computer-vision/useImageSegmentation.md b/docs/versioned_docs/version-0.5.x/02-hooks/02-computer-vision/useImageSegmentation.md
index baa769c37b..212176dc17 100644
--- a/docs/versioned_docs/version-0.5.x/02-hooks/02-computer-vision/useImageSegmentation.md
+++ b/docs/versioned_docs/version-0.5.x/02-hooks/02-computer-vision/useImageSegmentation.md
@@ -5,7 +5,7 @@ title: useImageSegmentation
 Semantic image segmentation, akin to image classification, tries to assign the content of the image to one of the predefined classes. However, in case of segmentation this classification is done on a per-pixel basis, so as the result the model provides an image-sized array of scores for each of the classes. You can then use this information to detect objects on a per-pixel basis. React Native ExecuTorch offers a dedicated hook `useImageSegmentation` 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/semantic-segmentation-68d5291bdf4a30bee0220f4f), you can also use [constants](https://github.com/software-mansion/react-native-executorch/blob/main/packages/react-native-executorch/src/constants/modelUrls.ts) shipped with our library.
+It is recommended to use models provided by us which are available at our [Hugging Face repository](https://huggingface.co/collections/software-mansion/semantic-segmentation-68d5291bdf4a30bee0220f4f), you can also use [constants](https://github.com/software-mansion/react-native-executorch/blob/v0.5.15/packages/react-native-executorch/src/constants/modelUrls.ts) shipped with our library.
 :::
 
 ## Reference
diff --git a/docs/versioned_docs/version-0.5.x/02-hooks/02-computer-vision/useOCR.md b/docs/versioned_docs/version-0.5.x/02-hooks/02-computer-vision/useOCR.md
index 13034e2769..f85fca43c2 100644
--- a/docs/versioned_docs/version-0.5.x/02-hooks/02-computer-vision/useOCR.md
+++ b/docs/versioned_docs/version-0.5.x/02-hooks/02-computer-vision/useOCR.md
@@ -5,7 +5,7 @@ title: useOCR
 Optical character recognition(OCR) is a computer vision technique that detects and recognizes text within the image. It's commonly used to convert different types of documents, such as scanned paper documents, PDF files, or images captured by a digital camera, into editable and searchable data.
 
 :::warning
-It is recommended to use models provided by us, which are available at our [Hugging Face repository](https://huggingface.co/collections/software-mansion/ocr-68d0eb320ae6d20b5f901ea9). You can also use [constants](https://github.com/software-mansion/react-native-executorch/blob/main/packages/react-native-executorch/src/constants/modelUrls.ts) shipped with our library.
+It is recommended to use models provided by us, which are available at our [Hugging Face repository](https://huggingface.co/collections/software-mansion/ocr-68d0eb320ae6d20b5f901ea9). You can also use [constants](https://github.com/software-mansion/react-native-executorch/blob/v0.5.15/packages/react-native-executorch/src/constants/modelUrls.ts) shipped with our library.
 :::
 
 ## Reference
diff --git a/docs/versioned_docs/version-0.5.x/02-hooks/02-computer-vision/useObjectDetection.md b/docs/versioned_docs/version-0.5.x/02-hooks/02-computer-vision/useObjectDetection.md
index cd53abffd2..bb43a96080 100644
--- a/docs/versioned_docs/version-0.5.x/02-hooks/02-computer-vision/useObjectDetection.md
+++ b/docs/versioned_docs/version-0.5.x/02-hooks/02-computer-vision/useObjectDetection.md
@@ -6,7 +6,7 @@ Object detection is a computer vision technique that identifies and locates obje
 `useObjectDetection` is a hook that allows you to seamlessly integrate object detection into your React Native applications.
 
 :::warning
-It is recommended to use models provided by us, which are available at our [Hugging Face repository](https://huggingface.co/collections/software-mansion/object-detection-68d0ea936cd0906843cbba7d). You can also use [constants](https://github.com/software-mansion/react-native-executorch/blob/main/packages/react-native-executorch/src/constants/modelUrls.ts) shipped with our library.
+It is recommended to use models provided by us, which are available at our [Hugging Face repository](https://huggingface.co/collections/software-mansion/object-detection-68d0ea936cd0906843cbba7d). You can also use [constants](https://github.com/software-mansion/react-native-executorch/blob/v0.5.15/packages/react-native-executorch/src/constants/modelUrls.ts) shipped with our library.
 :::
 
 ## Reference
diff --git a/docs/versioned_docs/version-0.5.x/02-hooks/02-computer-vision/useStyleTransfer.md b/docs/versioned_docs/version-0.5.x/02-hooks/02-computer-vision/useStyleTransfer.md
index 00f08c0a9d..80501c5687 100644
--- a/docs/versioned_docs/version-0.5.x/02-hooks/02-computer-vision/useStyleTransfer.md
+++ b/docs/versioned_docs/version-0.5.x/02-hooks/02-computer-vision/useStyleTransfer.md
@@ -5,7 +5,7 @@ title: useStyleTransfer
 Style transfer is a technique used in computer graphics and machine learning where the visual style of one image is applied to the content of another. This is achieved using algorithms that manipulate data from both images, typically with the aid of a neural network. The result is a new image that combines the artistic elements of one picture with the structural details of another, effectively merging art with traditional imagery. React Native ExecuTorch offers a dedicated hook `useStyleTransfer`, for this task. However before you start you'll need to obtain ExecuTorch-compatible model binary.
 
 :::warning
-It is recommended to use models provided by us which are available at our [Hugging Face repository](https://huggingface.co/collections/software-mansion/style-transfer-68d0eab2b0767a20e7efeaf5), you can also use [constants](https://github.com/software-mansion/react-native-executorch/blob/main/packages/react-native-executorch/src/constants/modelUrls.ts) shipped with our library.
+It is recommended to use models provided by us which are available at our [Hugging Face repository](https://huggingface.co/collections/software-mansion/style-transfer-68d0eab2b0767a20e7efeaf5), you can also use [constants](https://github.com/software-mansion/react-native-executorch/blob/v0.5.15/packages/react-native-executorch/src/constants/modelUrls.ts) shipped with our library.
 :::
 
 ## Reference
diff --git a/docs/versioned_docs/version-0.5.x/02-hooks/02-computer-vision/useVerticalOCR.md b/docs/versioned_docs/version-0.5.x/02-hooks/02-computer-vision/useVerticalOCR.md
index 87eb9d7808..989555138c 100644
--- a/docs/versioned_docs/version-0.5.x/02-hooks/02-computer-vision/useVerticalOCR.md
+++ b/docs/versioned_docs/version-0.5.x/02-hooks/02-computer-vision/useVerticalOCR.md
@@ -9,7 +9,7 @@ The `useVerticalOCR` hook is currently in an experimental phase. We appreciate f
 Optical Character Recognition (OCR) is a computer vision technique used to detect and recognize text within images. It is commonly utilized to convert a variety of documents, such as scanned paper documents, PDF files, or images captured by a digital camera, into editable and searchable data. Traditionally, OCR technology has been optimized for recognizing horizontal text, and integrating support for vertical text recognition often requires significant additional effort from developers. To simplify this, we introduce `useVerticalOCR`, a tool designed to abstract the complexities of vertical text OCR, enabling seamless integration into your applications.
 
 :::warning
-It is recommended to use models provided by us, which are available at our [Hugging Face repository](https://huggingface.co/collections/software-mansion/ocr-68d0eb320ae6d20b5f901ea9). You can also use [constants](https://github.com/software-mansion/react-native-executorch/blob/main/packages/react-native-executorch/src/constants/modelUrls.ts) shipped with our library.
+It is recommended to use models provided by us, which are available at our [Hugging Face repository](https://huggingface.co/collections/software-mansion/ocr-68d0eb320ae6d20b5f901ea9). You can also use [constants](https://github.com/software-mansion/react-native-executorch/blob/v0.5.15/packages/react-native-executorch/src/constants/modelUrls.ts) shipped with our library.
 :::
 
 ## Reference
diff --git a/docs/versioned_docs/version-0.6.x/02-hooks/01-natural-language-processing/useLLM.md b/docs/versioned_docs/version-0.6.x/02-hooks/01-natural-language-processing/useLLM.md
index 2f704394a0..00268a8ddb 100644
--- a/docs/versioned_docs/version-0.6.x/02-hooks/01-natural-language-processing/useLLM.md
+++ b/docs/versioned_docs/version-0.6.x/02-hooks/01-natural-language-processing/useLLM.md
@@ -23,7 +23,7 @@ description: "Learn how to use LLMs in your React Native applications with React
 
 React Native ExecuTorch supports a variety of LLMs (checkout our [HuggingFace repository](https://huggingface.co/software-mansion) for model already converted to ExecuTorch format) including Llama 3.2. Before getting started, you’ll need to obtain the .pte binary—a serialized model, the tokenizer and tokenizer config JSON files. There are various ways to accomplish this:
 
-- For your convenience, it's best if you use models exported by us, you can get them from our [HuggingFace repository](https://huggingface.co/software-mansion). You can also use [constants](https://github.com/software-mansion/react-native-executorch/blob/main/packages/react-native-executorch/src/constants/modelUrls.ts) shipped with our library.
+- For your convenience, it's best if you use models exported by us, you can get them from our [HuggingFace repository](https://huggingface.co/software-mansion). You can also use [constants](https://github.com/software-mansion/react-native-executorch/blob/v0.6.0/packages/react-native-executorch/src/constants/modelUrls.ts) shipped with our library.
 - Follow the official [tutorial](https://github.com/pytorch/executorch/blob/release/0.7/examples/demo-apps/android/LlamaDemo/docs/delegates/xnnpack_README.md) made by ExecuTorch team to build the model and tokenizer yourself.
 
 :::danger
diff --git a/docs/versioned_docs/version-0.6.x/02-hooks/01-natural-language-processing/useSpeechToText.md b/docs/versioned_docs/version-0.6.x/02-hooks/01-natural-language-processing/useSpeechToText.md
index 1031b6c432..2517601d0d 100644
--- a/docs/versioned_docs/version-0.6.x/02-hooks/01-natural-language-processing/useSpeechToText.md
+++ b/docs/versioned_docs/version-0.6.x/02-hooks/01-natural-language-processing/useSpeechToText.md
@@ -20,7 +20,7 @@ description: "Learn how to use speech-to-text models in your React Native applic
 Speech to text is a task that allows to transform spoken language to written text. It is commonly used to implement features such as transcription or voice assistants.
 
 :::warning
-It is recommended to use models provided by us, which are available at our [Hugging Face repository](https://huggingface.co/collections/software-mansion/speech-to-text-68d0ec99ed794250491b8bbe). You can also use [constants](https://github.com/software-mansion/react-native-executorch/blob/main/packages/react-native-executorch/src/constants/modelUrls.ts) shipped with our library.
+It is recommended to use models provided by us, which are available at our [Hugging Face repository](https://huggingface.co/collections/software-mansion/speech-to-text-68d0ec99ed794250491b8bbe). You can also use [constants](https://github.com/software-mansion/react-native-executorch/blob/v0.6.0/packages/react-native-executorch/src/constants/modelUrls.ts) shipped with our library.
 :::
 
 ## Reference
diff --git a/docs/versioned_docs/version-0.6.x/02-hooks/01-natural-language-processing/useTextEmbeddings.md b/docs/versioned_docs/version-0.6.x/02-hooks/01-natural-language-processing/useTextEmbeddings.md
index dc045e06c0..791fd74faa 100644
--- a/docs/versioned_docs/version-0.6.x/02-hooks/01-natural-language-processing/useTextEmbeddings.md
+++ b/docs/versioned_docs/version-0.6.x/02-hooks/01-natural-language-processing/useTextEmbeddings.md
@@ -18,7 +18,7 @@ description: "Learn how to use text embeddings models in your React Native appli
 Text Embedding is the process of converting text into a numerical representation. This representation can be used for various natural language processing tasks, such as semantic search, text classification, and clustering.
 
 :::warning
-It is recommended to use models provided by us, which are available at our [Hugging Face repository](https://huggingface.co/collections/software-mansion/text-embeddings-68d0ed42f8ca0200d0283362). You can also use [constants](https://github.com/software-mansion/react-native-executorch/blob/main/packages/react-native-executorch/src/constants/modelUrls.ts) shipped with our library.
+It is recommended to use models provided by us, which are available at our [Hugging Face repository](https://huggingface.co/collections/software-mansion/text-embeddings-68d0ed42f8ca0200d0283362). You can also use [constants](https://github.com/software-mansion/react-native-executorch/blob/v0.6.0/packages/react-native-executorch/src/constants/modelUrls.ts) shipped with our library.
 :::
 
 ## Reference
diff --git a/docs/versioned_docs/version-0.6.x/02-hooks/01-natural-language-processing/useVAD.md b/docs/versioned_docs/version-0.6.x/02-hooks/01-natural-language-processing/useVAD.md
index 4175707324..e0c1dad989 100644
--- a/docs/versioned_docs/version-0.6.x/02-hooks/01-natural-language-processing/useVAD.md
+++ b/docs/versioned_docs/version-0.6.x/02-hooks/01-natural-language-processing/useVAD.md
@@ -5,7 +5,7 @@ title: useVAD
 Voice Activity Detection (VAD) is the task of analyzing an audio signal to identify time segments containing human speech, separating them from non-speech sections like silence and background noise.
 
 :::warning
-It is recommended to use models provided by us, which are available at our [Hugging Face repository](https://huggingface.co/collections/software-mansion/speech-to-text-68d0ec99ed794250491b8bbe). You can also use [constants](https://github.com/software-mansion/react-native-executorch/blob/main/packages/react-native-executorch/src/constants/modelUrls.ts) shipped with our library.
+It is recommended to use models provided by us, which are available at our [Hugging Face repository](https://huggingface.co/collections/software-mansion/speech-to-text-68d0ec99ed794250491b8bbe). You can also use [constants](https://github.com/software-mansion/react-native-executorch/blob/v0.6.0/packages/react-native-executorch/src/constants/modelUrls.ts) shipped with our library.
 :::
 
 ## Reference
diff --git a/docs/versioned_docs/version-0.6.x/02-hooks/02-computer-vision/useClassification.md b/docs/versioned_docs/version-0.6.x/02-hooks/02-computer-vision/useClassification.md
index d0fd199b7b..f65d611701 100644
--- a/docs/versioned_docs/version-0.6.x/02-hooks/02-computer-vision/useClassification.md
+++ b/docs/versioned_docs/version-0.6.x/02-hooks/02-computer-vision/useClassification.md
@@ -9,7 +9,7 @@ Usually, the class with the highest probability is the one that is assigned to a
 :::
 
 :::warning
-It is recommended to use models provided by us, which are available at our [Hugging Face repository](https://huggingface.co/collections/software-mansion/classification-68d0ea49b5c7de8a3cae1e68). You can also use [constants](https://github.com/software-mansion/react-native-executorch/blob/main/packages/react-native-executorch/src/constants/modelUrls.ts) shipped with our library.
+It is recommended to use models provided by us, which are available at our [Hugging Face repository](https://huggingface.co/collections/software-mansion/classification-68d0ea49b5c7de8a3cae1e68). You can also use [constants](https://github.com/software-mansion/react-native-executorch/blob/v0.6.0/packages/react-native-executorch/src/constants/modelUrls.ts) shipped with our library.
 :::
 
 ## Reference
diff --git a/docs/versioned_docs/version-0.6.x/02-hooks/02-computer-vision/useImageEmbeddings.md b/docs/versioned_docs/version-0.6.x/02-hooks/02-computer-vision/useImageEmbeddings.md
index 31d3d42fbf..67a7444889 100644
--- a/docs/versioned_docs/version-0.6.x/02-hooks/02-computer-vision/useImageEmbeddings.md
+++ b/docs/versioned_docs/version-0.6.x/02-hooks/02-computer-vision/useImageEmbeddings.md
@@ -19,7 +19,7 @@ description: "Learn how to use image embeddings models in your React Native appl
 Image Embedding is the process of converting an image into a numerical representation. This representation can be used for tasks, such as classification, clustering and (using contrastive learning like e.g. CLIP model) image search.
 
 :::warning
-It is recommended to use models provided by us, which are available at our [Hugging Face repository](https://huggingface.co/collections/software-mansion/image-embeddings-68d0eda599a9d37caaaf1ad0). You can also use [constants](https://github.com/software-mansion/react-native-executorch/blob/main/packages/react-native-executorch/src/constants/modelUrls.ts) shipped with our library.
+It is recommended to use models provided by us, which are available at our [Hugging Face repository](https://huggingface.co/collections/software-mansion/image-embeddings-68d0eda599a9d37caaaf1ad0). You can also use [constants](https://github.com/software-mansion/react-native-executorch/blob/v0.6.0/packages/react-native-executorch/src/constants/modelUrls.ts) shipped with our library.
 :::
 
 ## Reference
diff --git a/docs/versioned_docs/version-0.6.x/02-hooks/02-computer-vision/useImageSegmentation.md b/docs/versioned_docs/version-0.6.x/02-hooks/02-computer-vision/useImageSegmentation.md
index baa769c37b..80cf3a17e2 100644
--- a/docs/versioned_docs/version-0.6.x/02-hooks/02-computer-vision/useImageSegmentation.md
+++ b/docs/versioned_docs/version-0.6.x/02-hooks/02-computer-vision/useImageSegmentation.md
@@ -5,7 +5,7 @@ title: useImageSegmentation
 Semantic image segmentation, akin to image classification, tries to assign the content of the image to one of the predefined classes. However, in case of segmentation this classification is done on a per-pixel basis, so as the result the model provides an image-sized array of scores for each of the classes. You can then use this information to detect objects on a per-pixel basis. React Native ExecuTorch offers a dedicated hook `useImageSegmentation` 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/semantic-segmentation-68d5291bdf4a30bee0220f4f), you can also use [constants](https://github.com/software-mansion/react-native-executorch/blob/main/packages/react-native-executorch/src/constants/modelUrls.ts) shipped with our library.
+It is recommended to use models provided by us which are available at our [Hugging Face repository](https://huggingface.co/collections/software-mansion/semantic-segmentation-68d5291bdf4a30bee0220f4f), you can also use [constants](https://github.com/software-mansion/react-native-executorch/blob/v0.6.0/packages/react-native-executorch/src/constants/modelUrls.ts) shipped with our library.
 :::
 
 ## Reference
diff --git a/docs/versioned_docs/version-0.6.x/02-hooks/02-computer-vision/useOCR.md b/docs/versioned_docs/version-0.6.x/02-hooks/02-computer-vision/useOCR.md
index 0c804e1a01..24ee82de5f 100644
--- a/docs/versioned_docs/version-0.6.x/02-hooks/02-computer-vision/useOCR.md
+++ b/docs/versioned_docs/version-0.6.x/02-hooks/02-computer-vision/useOCR.md
@@ -5,7 +5,7 @@ title: useOCR
 Optical character recognition(OCR) is a computer vision technique that detects and recognizes text within the image. It's commonly used to convert different types of documents, such as scanned paper documents, PDF files, or images captured by a digital camera, into editable and searchable data.
 
 :::warning
-It is recommended to use models provided by us, which are available at our [Hugging Face repository](https://huggingface.co/collections/software-mansion/ocr-68d0eb320ae6d20b5f901ea9). You can also use [constants](https://github.com/software-mansion/react-native-executorch/blob/main/packages/react-native-executorch/src/constants/modelUrls.ts) shipped with our library.
+It is recommended to use models provided by us, which are available at our [Hugging Face repository](https://huggingface.co/collections/software-mansion/ocr-68d0eb320ae6d20b5f901ea9). You can also use [constants](https://github.com/software-mansion/react-native-executorch/blob/v0.6.0/packages/react-native-executorch/src/constants/modelUrls.ts) shipped with our library.
 :::
 
 ## Reference
diff --git a/docs/versioned_docs/version-0.6.x/02-hooks/02-computer-vision/useObjectDetection.md b/docs/versioned_docs/version-0.6.x/02-hooks/02-computer-vision/useObjectDetection.md
index 4ec1258273..b3392b9cf4 100644
--- a/docs/versioned_docs/version-0.6.x/02-hooks/02-computer-vision/useObjectDetection.md
+++ b/docs/versioned_docs/version-0.6.x/02-hooks/02-computer-vision/useObjectDetection.md
@@ -6,7 +6,7 @@ Object detection is a computer vision technique that identifies and locates obje
 `useObjectDetection` is a hook that allows you to seamlessly integrate object detection into your React Native applications.
 
 :::caution
-It is recommended to use models provided by us, which are available at our [Hugging Face repository](https://huggingface.co/collections/software-mansion/object-detection-68d0ea936cd0906843cbba7d). You can also use [constants](https://github.com/software-mansion/react-native-executorch/blob/main/packages/react-native-executorch/src/constants/modelUrls.ts) shipped with our library.
+It is recommended to use models provided by us, which are available at our [Hugging Face repository](https://huggingface.co/collections/software-mansion/object-detection-68d0ea936cd0906843cbba7d). You can also use [constants](https://github.com/software-mansion/react-native-executorch/blob/v0.6.0/packages/react-native-executorch/src/constants/modelUrls.ts) shipped with our library.
 :::
 
 ## Reference
diff --git a/docs/versioned_docs/version-0.6.x/02-hooks/02-computer-vision/useStyleTransfer.md b/docs/versioned_docs/version-0.6.x/02-hooks/02-computer-vision/useStyleTransfer.md
index 72f420668c..6ed18fda61 100644
--- a/docs/versioned_docs/version-0.6.x/02-hooks/02-computer-vision/useStyleTransfer.md
+++ b/docs/versioned_docs/version-0.6.x/02-hooks/02-computer-vision/useStyleTransfer.md
@@ -5,7 +5,7 @@ title: useStyleTransfer
 Style transfer is a technique used in computer graphics and machine learning where the visual style of one image is applied to the content of another. This is achieved using algorithms that manipulate data from both images, typically with the aid of a neural network. The result is a new image that combines the artistic elements of one picture with the structural details of another, effectively merging art with traditional imagery. React Native ExecuTorch offers a dedicated hook `useStyleTransfer`, for this task. However before you start you'll need to obtain ExecuTorch-compatible model binary.
 
 :::warning
-It is recommended to use models provided by us which are available at our [Hugging Face repository](https://huggingface.co/collections/software-mansion/style-transfer-68d0eab2b0767a20e7efeaf5), you can also use [constants](https://github.com/software-mansion/react-native-executorch/blob/main/packages/react-native-executorch/src/constants/modelUrls.ts) shipped with our library.
+It is recommended to use models provided by us which are available at our [Hugging Face repository](https://huggingface.co/collections/software-mansion/style-transfer-68d0eab2b0767a20e7efeaf5), you can also use [constants](https://github.com/software-mansion/react-native-executorch/blob/v0.6.0/packages/react-native-executorch/src/constants/modelUrls.ts) shipped with our library.
 :::
 
 ## Reference
diff --git a/docs/versioned_docs/version-0.6.x/02-hooks/02-computer-vision/useTextToImage.md b/docs/versioned_docs/version-0.6.x/02-hooks/02-computer-vision/useTextToImage.md
index 1d35d7a3a9..f4826a210d 100644
--- a/docs/versioned_docs/version-0.6.x/02-hooks/02-computer-vision/useTextToImage.md
+++ b/docs/versioned_docs/version-0.6.x/02-hooks/02-computer-vision/useTextToImage.md
@@ -9,7 +9,7 @@ Text-to-image is a process of generating images directly from a description in n
 <!-- Update links after uploading the model to Swm HuggingFace -->
 
 :::warning
-It is recommended to use models provided by us which are available at our Hugging Face repository, you can also use [constants](https://github.com/software-mansion/react-native-executorch/blob/main/packages/react-native-executorch/src/constants/modelUrls.ts) shipped with our library.
+It is recommended to use models provided by us which are available at our Hugging Face repository, you can also use [constants](https://github.com/software-mansion/react-native-executorch/blob/v0.6.0/packages/react-native-executorch/src/constants/modelUrls.ts) shipped with our library.
 :::
 
 ## Reference
diff --git a/docs/versioned_docs/version-0.6.x/02-hooks/02-computer-vision/useVerticalOCR.md b/docs/versioned_docs/version-0.6.x/02-hooks/02-computer-vision/useVerticalOCR.md
index 33f4d935f9..43cd1e23e8 100644
--- a/docs/versioned_docs/version-0.6.x/02-hooks/02-computer-vision/useVerticalOCR.md
+++ b/docs/versioned_docs/version-0.6.x/02-hooks/02-computer-vision/useVerticalOCR.md
@@ -9,7 +9,7 @@ The `useVerticalOCR` hook is currently in an experimental phase. We appreciate f
 Optical Character Recognition (OCR) is a computer vision technique used to detect and recognize text within images. It is commonly utilized to convert a variety of documents, such as scanned paper documents, PDF files, or images captured by a digital camera, into editable and searchable data. Traditionally, OCR technology has been optimized for recognizing horizontal text, and integrating support for vertical text recognition often requires significant additional effort from developers. To simplify this, we introduce `useVerticalOCR`, a tool designed to abstract the complexities of vertical text OCR, enabling seamless integration into your applications.
 
 :::warning
-It is recommended to use models provided by us, which are available at our [Hugging Face repository](https://huggingface.co/collections/software-mansion/ocr-68d0eb320ae6d20b5f901ea9). You can also use [constants](https://github.com/software-mansion/react-native-executorch/blob/main/packages/react-native-executorch/src/constants/modelUrls.ts) shipped with our library.
+It is recommended to use models provided by us, which are available at our [Hugging Face repository](https://huggingface.co/collections/software-mansion/ocr-68d0eb320ae6d20b5f901ea9). You can also use [constants](https://github.com/software-mansion/react-native-executorch/blob/v0.6.0/packages/react-native-executorch/src/constants/modelUrls.ts) shipped with our library.
 :::
 
 ## Reference
diff --git a/docs/versioned_docs/version-0.7.x/03-hooks/01-natural-language-processing/useSpeechToText.md b/docs/versioned_docs/version-0.7.x/03-hooks/01-natural-language-processing/useSpeechToText.md
index 5b0545cf24..cea91783cc 100644
--- a/docs/versioned_docs/version-0.7.x/03-hooks/01-natural-language-processing/useSpeechToText.md
+++ b/docs/versioned_docs/version-0.7.x/03-hooks/01-natural-language-processing/useSpeechToText.md
@@ -20,7 +20,7 @@ description: "Learn how to use speech-to-text models in your React Native applic
 Speech to text is a task that allows to transform spoken language to written text. It is commonly used to implement features such as transcription or voice assistants.
 
 :::warning
-It is recommended to use models provided by us, which are available at our [Hugging Face repository](https://huggingface.co/collections/software-mansion/speech-to-text-68d0ec99ed794250491b8bbe). You can also use [constants](https://github.com/software-mansion/react-native-executorch/blob/main/packages/react-native-executorch/src/constants/modelUrls.ts) shipped with our library.
+It is recommended to use models provided by us, which are available at our [Hugging Face repository](https://huggingface.co/collections/software-mansion/speech-to-text-68d0ec99ed794250491b8bbe). You can also use [constants](https://github.com/software-mansion/react-native-executorch/blob/v0.7.3/packages/react-native-executorch/src/constants/modelUrls.ts) shipped with our library.
 :::
 
 ## API Reference
diff --git a/docs/versioned_docs/version-0.7.x/03-hooks/01-natural-language-processing/useTextEmbeddings.md b/docs/versioned_docs/version-0.7.x/03-hooks/01-natural-language-processing/useTextEmbeddings.md
index f941533746..39b7a74186 100644
--- a/docs/versioned_docs/version-0.7.x/03-hooks/01-natural-language-processing/useTextEmbeddings.md
+++ b/docs/versioned_docs/version-0.7.x/03-hooks/01-natural-language-processing/useTextEmbeddings.md
@@ -18,7 +18,7 @@ description: "Learn how to use text embeddings models in your React Native appli
 Text Embedding is the process of converting text into a numerical representation. This representation can be used for various natural language processing tasks, such as semantic search, text classification, and clustering.
 
 :::warning
-It is recommended to use models provided by us, which are available at our [Hugging Face repository](https://huggingface.co/collections/software-mansion/text-embeddings-68d0ed42f8ca0200d0283362). You can also use [constants](https://github.com/software-mansion/react-native-executorch/blob/main/packages/react-native-executorch/src/constants/modelUrls.ts) shipped with our library.
+It is recommended to use models provided by us, which are available at our [Hugging Face repository](https://huggingface.co/collections/software-mansion/text-embeddings-68d0ed42f8ca0200d0283362). You can also use [constants](https://github.com/software-mansion/react-native-executorch/blob/v0.7.3/packages/react-native-executorch/src/constants/modelUrls.ts) shipped with our library.
 :::
 
 ## API Reference
diff --git a/docs/versioned_docs/version-0.7.x/03-hooks/01-natural-language-processing/useTextToSpeech.md b/docs/versioned_docs/version-0.7.x/03-hooks/01-natural-language-processing/useTextToSpeech.md
index b52726c9ea..07b29161b5 100644
--- a/docs/versioned_docs/version-0.7.x/03-hooks/01-natural-language-processing/useTextToSpeech.md
+++ b/docs/versioned_docs/version-0.7.x/03-hooks/01-natural-language-processing/useTextToSpeech.md
@@ -19,7 +19,7 @@ description: "Learn how to use text-to-speech models in your React Native applic
 Text to speech is a task that allows to transform written text into spoken language. It is commonly used to implement features such as voice assistants, accessibility tools, or audiobooks.
 
 :::warning
-It is recommended to use models provided by us, which are available at our [Hugging Face repository](https://huggingface.co/software-mansion/react-native-executorch-kokoro). You can also use [constants](https://github.com/software-mansion/react-native-executorch/blob/main/packages/react-native-executorch/src/constants/modelUrls.ts) shipped with our library.
+It is recommended to use models provided by us, which are available at our [Hugging Face repository](https://huggingface.co/software-mansion/react-native-executorch-kokoro). You can also use [constants](https://github.com/software-mansion/react-native-executorch/blob/v0.7.3/packages/react-native-executorch/src/constants/modelUrls.ts) shipped with our library.
 :::
 
 ## API Reference
diff --git a/docs/versioned_docs/version-0.7.x/03-hooks/01-natural-language-processing/useVAD.md b/docs/versioned_docs/version-0.7.x/03-hooks/01-natural-language-processing/useVAD.md
index 4ebad60737..20868e3dcb 100644
--- a/docs/versioned_docs/version-0.7.x/03-hooks/01-natural-language-processing/useVAD.md
+++ b/docs/versioned_docs/version-0.7.x/03-hooks/01-natural-language-processing/useVAD.md
@@ -5,7 +5,7 @@ title: useVAD
 Voice Activity Detection (VAD) is the task of analyzing an audio signal to identify time segments containing human speech, separating them from non-speech sections like silence and background noise.
 
 :::caution
-It is recommended to use models provided by us, which are available at our [Hugging Face repository](https://huggingface.co/software-mansion/react-native-executorch-fsmn-vad). You can also use [constants](https://github.com/software-mansion/react-native-executorch/blob/main/packages/react-native-executorch/src/constants/modelUrls.ts) shipped with our library.
+It is recommended to use models provided by us, which are available at our [Hugging Face repository](https://huggingface.co/software-mansion/react-native-executorch-fsmn-vad). You can also use [constants](https://github.com/software-mansion/react-native-executorch/blob/v0.7.3/packages/react-native-executorch/src/constants/modelUrls.ts) shipped with our library.
 :::
 
 ## API Reference
diff --git a/docs/versioned_docs/version-0.7.x/03-hooks/02-computer-vision/useClassification.md b/docs/versioned_docs/version-0.7.x/03-hooks/02-computer-vision/useClassification.md
index 9c70a04d2d..47feaf4d33 100644
--- a/docs/versioned_docs/version-0.7.x/03-hooks/02-computer-vision/useClassification.md
+++ b/docs/versioned_docs/version-0.7.x/03-hooks/02-computer-vision/useClassification.md
@@ -9,7 +9,7 @@ Usually, the class with the highest probability is the one that is assigned to a
 :::
 
 :::warning
-It is recommended to use models provided by us, which are available at our [Hugging Face repository](https://huggingface.co/collections/software-mansion/classification-68d0ea49b5c7de8a3cae1e68). You can also use [constants](https://github.com/software-mansion/react-native-executorch/blob/main/packages/react-native-executorch/src/constants/modelUrls.ts) shipped with our library.
+It is recommended to use models provided by us, which are available at our [Hugging Face repository](https://huggingface.co/collections/software-mansion/classification-68d0ea49b5c7de8a3cae1e68). You can also use [constants](https://github.com/software-mansion/react-native-executorch/blob/v0.7.3/packages/react-native-executorch/src/constants/modelUrls.ts) shipped with our library.
 :::
 
 ## API Reference
diff --git a/docs/versioned_docs/version-0.7.x/03-hooks/02-computer-vision/useImageEmbeddings.md b/docs/versioned_docs/version-0.7.x/03-hooks/02-computer-vision/useImageEmbeddings.md
index c85e9c67e0..b668a7057a 100644
--- a/docs/versioned_docs/version-0.7.x/03-hooks/02-computer-vision/useImageEmbeddings.md
+++ b/docs/versioned_docs/version-0.7.x/03-hooks/02-computer-vision/useImageEmbeddings.md
@@ -19,7 +19,7 @@ description: "Learn how to use image embeddings models in your React Native appl
 Image Embedding is the process of converting an image into a numerical representation. This representation can be used for tasks, such as classification, clustering and (using contrastive learning like e.g. CLIP model) image search.
 
 :::warning
-It is recommended to use models provided by us, which are available at our [Hugging Face repository](https://huggingface.co/collections/software-mansion/image-embeddings-68d0eda599a9d37caaaf1ad0). You can also use [constants](https://github.com/software-mansion/react-native-executorch/blob/main/packages/react-native-executorch/src/constants/modelUrls.ts) shipped with our library.
+It is recommended to use models provided by us, which are available at our [Hugging Face repository](https://huggingface.co/collections/software-mansion/image-embeddings-68d0eda599a9d37caaaf1ad0). You can also use [constants](https://github.com/software-mansion/react-native-executorch/blob/v0.7.3/packages/react-native-executorch/src/constants/modelUrls.ts) shipped with our library.
 :::
 
 ## API Reference
diff --git a/docs/versioned_docs/version-0.7.x/03-hooks/02-computer-vision/useImageSegmentation.md b/docs/versioned_docs/version-0.7.x/03-hooks/02-computer-vision/useImageSegmentation.md
index f2f3d98d10..12d8423ea4 100644
--- a/docs/versioned_docs/version-0.7.x/03-hooks/02-computer-vision/useImageSegmentation.md
+++ b/docs/versioned_docs/version-0.7.x/03-hooks/02-computer-vision/useImageSegmentation.md
@@ -5,7 +5,7 @@ title: useImageSegmentation
 Semantic image segmentation, akin to image classification, tries to assign the content of the image to one of the predefined classes. However, in case of segmentation this classification is done on a per-pixel basis, so as the result the model provides an image-sized array of scores for each of the classes. You can then use this information to detect objects on a per-pixel basis. React Native ExecuTorch offers a dedicated hook `useImageSegmentation` 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/semantic-segmentation-68d5291bdf4a30bee0220f4f), you can also use [constants](https://github.com/software-mansion/react-native-executorch/blob/main/packages/react-native-executorch/src/constants/modelUrls.ts) shipped with our library.
+It is recommended to use models provided by us which are available at our [Hugging Face repository](https://huggingface.co/collections/software-mansion/semantic-segmentation-68d5291bdf4a30bee0220f4f), you can also use [constants](https://github.com/software-mansion/react-native-executorch/blob/v0.7.3/packages/react-native-executorch/src/constants/modelUrls.ts) shipped with our library.
 :::
 
 ## API Reference
diff --git a/docs/versioned_docs/version-0.7.x/03-hooks/02-computer-vision/useOCR.md b/docs/versioned_docs/version-0.7.x/03-hooks/02-computer-vision/useOCR.md
index e7fa60d079..d999f0b399 100644
--- a/docs/versioned_docs/version-0.7.x/03-hooks/02-computer-vision/useOCR.md
+++ b/docs/versioned_docs/version-0.7.x/03-hooks/02-computer-vision/useOCR.md
@@ -5,7 +5,7 @@ title: useOCR
 Optical character recognition (OCR) is a computer vision technique that detects and recognizes text within the image. It's commonly used to convert different types of documents, such as scanned paper documents, PDF files, or images captured by a digital camera, into editable and searchable data.
 
 :::warning
-It is recommended to use models provided by us, which are available at our [Hugging Face repository](https://huggingface.co/collections/software-mansion/ocr-68d0eb320ae6d20b5f901ea9). You can also use [constants](https://github.com/software-mansion/react-native-executorch/blob/main/packages/react-native-executorch/src/constants/modelUrls.ts) shipped with our library.
+It is recommended to use models provided by us, which are available at our [Hugging Face repository](https://huggingface.co/collections/software-mansion/ocr-68d0eb320ae6d20b5f901ea9). You can also use [constants](https://github.com/software-mansion/react-native-executorch/blob/v0.7.3/packages/react-native-executorch/src/constants/modelUrls.ts) shipped with our library.
 :::
 
 ## API Reference
diff --git a/docs/versioned_docs/version-0.7.x/03-hooks/02-computer-vision/useObjectDetection.md b/docs/versioned_docs/version-0.7.x/03-hooks/02-computer-vision/useObjectDetection.md
index 796caf0be4..15166640c4 100644
--- a/docs/versioned_docs/version-0.7.x/03-hooks/02-computer-vision/useObjectDetection.md
+++ b/docs/versioned_docs/version-0.7.x/03-hooks/02-computer-vision/useObjectDetection.md
@@ -6,7 +6,7 @@ Object detection is a computer vision technique that identifies and locates obje
 `useObjectDetection` is a hook that allows you to seamlessly integrate object detection into your React Native applications.
 
 :::warning
-It is recommended to use models provided by us, which are available at our [Hugging Face repository](https://huggingface.co/collections/software-mansion/object-detection-68d0ea936cd0906843cbba7d). You can also use [constants](https://github.com/software-mansion/react-native-executorch/blob/main/packages/react-native-executorch/src/constants/modelUrls.ts) shipped with our library.
+It is recommended to use models provided by us, which are available at our [Hugging Face repository](https://huggingface.co/collections/software-mansion/object-detection-68d0ea936cd0906843cbba7d). You can also use [constants](https://github.com/software-mansion/react-native-executorch/blob/v0.7.3/packages/react-native-executorch/src/constants/modelUrls.ts) shipped with our library.
 :::
 
 ## API Reference
diff --git a/docs/versioned_docs/version-0.7.x/03-hooks/02-computer-vision/useStyleTransfer.md b/docs/versioned_docs/version-0.7.x/03-hooks/02-computer-vision/useStyleTransfer.md
index 10c9a11b39..4072853abb 100644
--- a/docs/versioned_docs/version-0.7.x/03-hooks/02-computer-vision/useStyleTransfer.md
+++ b/docs/versioned_docs/version-0.7.x/03-hooks/02-computer-vision/useStyleTransfer.md
@@ -5,7 +5,7 @@ title: useStyleTransfer
 Style transfer is a technique used in computer graphics and machine learning where the visual style of one image is applied to the content of another. This is achieved using algorithms that manipulate data from both images, typically with the aid of a neural network. The result is a new image that combines the artistic elements of one picture with the structural details of another, effectively merging art with traditional imagery. React Native ExecuTorch offers a dedicated hook `useStyleTransfer`, for this task. However before you start you'll need to obtain ExecuTorch-compatible model binary.
 
 :::warning
-It is recommended to use models provided by us which are available at our [Hugging Face repository](https://huggingface.co/collections/software-mansion/style-transfer-68d0eab2b0767a20e7efeaf5), you can also use [constants](https://github.com/software-mansion/react-native-executorch/blob/main/packages/react-native-executorch/src/constants/modelUrls.ts) shipped with our library.
+It is recommended to use models provided by us which are available at our [Hugging Face repository](https://huggingface.co/collections/software-mansion/style-transfer-68d0eab2b0767a20e7efeaf5), you can also use [constants](https://github.com/software-mansion/react-native-executorch/blob/v0.7.3/packages/react-native-executorch/src/constants/modelUrls.ts) shipped with our library.
 :::
 
 ## API Reference
diff --git a/docs/versioned_docs/version-0.7.x/03-hooks/02-computer-vision/useTextToImage.md b/docs/versioned_docs/version-0.7.x/03-hooks/02-computer-vision/useTextToImage.md
index 988904c5d2..51ebc9bed8 100644
--- a/docs/versioned_docs/version-0.7.x/03-hooks/02-computer-vision/useTextToImage.md
+++ b/docs/versioned_docs/version-0.7.x/03-hooks/02-computer-vision/useTextToImage.md
@@ -7,7 +7,7 @@ description: "Learn how to use image generation models in your React Native appl
 Text-to-image is a process of generating images directly from a description in natural language by conditioning a model on the provided text input. Our implementation follows the Stable Diffusion pipeline, which applies the diffusion process in a lower-dimensional latent space to reduce memory requirements. The pipeline combines a text encoder to preprocess the prompt, a U-Net that iteratively denoises latent representations, and a VAE decoder to reconstruct the final image. React Native ExecuTorch offers a dedicated hook, `useTextToImage`, 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/text-to-image-68d0edf50ae6d20b5f9076cd), you can also use [constants](https://github.com/software-mansion/react-native-executorch/blob/main/packages/react-native-executorch/src/constants/modelUrls.ts) shipped with our library.
+It is recommended to use models provided by us which are available at our [Hugging Face repository](https://huggingface.co/collections/software-mansion/text-to-image-68d0edf50ae6d20b5f9076cd), you can also use [constants](https://github.com/software-mansion/react-native-executorch/blob/v0.7.3/packages/react-native-executorch/src/constants/modelUrls.ts) shipped with our library.
 :::
 
 ## API Reference
diff --git a/docs/versioned_docs/version-0.7.x/03-hooks/02-computer-vision/useVerticalOCR.md b/docs/versioned_docs/version-0.7.x/03-hooks/02-computer-vision/useVerticalOCR.md
index 19f1eb3449..c804494e8e 100644
--- a/docs/versioned_docs/version-0.7.x/03-hooks/02-computer-vision/useVerticalOCR.md
+++ b/docs/versioned_docs/version-0.7.x/03-hooks/02-computer-vision/useVerticalOCR.md
@@ -9,7 +9,7 @@ The `useVerticalOCR` hook is currently in an experimental phase. We appreciate f
 Optical Character Recognition (OCR) is a computer vision technique used to detect and recognize text within images. It is commonly utilized to convert a variety of documents, such as scanned paper documents, PDF files, or images captured by a digital camera, into editable and searchable data. Traditionally, OCR technology has been optimized for recognizing horizontal text, and integrating support for vertical text recognition often requires significant additional effort from developers. To simplify this, we introduce `useVerticalOCR`, a tool designed to abstract the complexities of vertical text OCR, enabling seamless integration into your applications.
 
 :::warning
-It is recommended to use models provided by us, which are available at our [Hugging Face repository](https://huggingface.co/collections/software-mansion/ocr-68d0eb320ae6d20b5f901ea9). You can also use [constants](https://github.com/software-mansion/react-native-executorch/blob/main/packages/react-native-executorch/src/constants/modelUrls.ts) shipped with our library.
+It is recommended to use models provided by us, which are available at our [Hugging Face repository](https://huggingface.co/collections/software-mansion/ocr-68d0eb320ae6d20b5f901ea9). You can also use [constants](https://github.com/software-mansion/react-native-executorch/blob/v0.7.3/packages/react-native-executorch/src/constants/modelUrls.ts) shipped with our library.
 :::
 
 ## API Reference
diff --git a/docs/versioned_docs/version-0.8.x/03-hooks/02-computer-vision/visioncamera-integration.md b/docs/versioned_docs/version-0.8.x/03-hooks/02-computer-vision/visioncamera-integration.md
index 008d0121bd..b394e66940 100644
--- a/docs/versioned_docs/version-0.8.x/03-hooks/02-computer-vision/visioncamera-integration.md
+++ b/docs/versioned_docs/version-0.8.x/03-hooks/02-computer-vision/visioncamera-integration.md
@@ -154,7 +154,7 @@ const styles = StyleSheet.create({
 });
 ```
 
-For a complete example showing how to render bounding boxes, segmentation masks, OCR overlays, and style transfer results on top of the camera preview, see the [example app's VisionCamera tasks](https://github.com/software-mansion/react-native-executorch/tree/main/apps/computer-vision/components/vision_camera).
+For a complete example showing how to render bounding boxes, segmentation masks, OCR overlays, and style transfer results on top of the camera preview, see the [example app's VisionCamera tasks](https://github.com/software-mansion/react-native-executorch/tree/v0.8.5/apps/computer-vision/components/vision_camera).
 
 ## Handling front/back camera
 
diff --git a/docs/versioned_docs/version-0.9.x/03-hooks/02-computer-vision/visioncamera-integration.md b/docs/versioned_docs/version-0.9.x/03-hooks/02-computer-vision/visioncamera-integration.md
index b421047552..bc99436023 100644
--- a/docs/versioned_docs/version-0.9.x/03-hooks/02-computer-vision/visioncamera-integration.md
+++ b/docs/versioned_docs/version-0.9.x/03-hooks/02-computer-vision/visioncamera-integration.md
@@ -152,7 +152,7 @@ const styles = StyleSheet.create({
 });
 ```
 
-For a complete example showing how to render bounding boxes, segmentation masks, OCR overlays, and style transfer results on top of the camera preview, see the [example app's VisionCamera tasks](https://github.com/software-mansion/react-native-executorch/tree/main/apps/computer-vision/components/vision_camera).
+For a complete example showing how to render bounding boxes, segmentation masks, OCR overlays, and style transfer results on top of the camera preview, see the [example app's VisionCamera tasks](https://github.com/software-mansion/react-native-executorch/tree/v0.9.3/apps/computer-vision/components/vision_camera).
 
 ## Handling front/back camera