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msluszniak merged 1 commit into from
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docs: pin dead main links in archived docs to release tags #1593

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2 changes: 1 addition & 1 deletion ...rsion-0.10.0-legacy/03-hooks/01-natural-language-processing/usePrivacyFilter.md
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Expand Up @@ -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
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2 changes: 1 addition & 1 deletion ...ersion-0.10.0-legacy/03-hooks/01-natural-language-processing/useSpeechToText.md
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Expand Up @@ -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
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2 changes: 1 addition & 1 deletion ...sion-0.10.0-legacy/03-hooks/01-natural-language-processing/useTextEmbeddings.md
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Expand Up @@ -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
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2 changes: 1 addition & 1 deletion ...ersion-0.10.0-legacy/03-hooks/01-natural-language-processing/useTextToSpeech.md
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Expand Up @@ -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
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2 changes: 1 addition & 1 deletion ...ed_docs/version-0.10.0-legacy/03-hooks/01-natural-language-processing/useVAD.md
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Expand Up @@ -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
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4 changes: 2 additions & 2 deletions ...ned_docs/version-0.10.0-legacy/03-hooks/02-computer-vision/useClassification.md
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Expand Up @@ -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
Expand Down Expand Up @@ -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) | ✅ |
2 changes: 1 addition & 1 deletion ...ed_docs/version-0.10.0-legacy/03-hooks/02-computer-vision/useImageEmbeddings.md
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Expand Up @@ -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
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2 changes: 1 addition & 1 deletion docs/versioned_docs/version-0.10.0-legacy/03-hooks/02-computer-vision/useOCR.md
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Expand Up @@ -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
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2 changes: 1 addition & 1 deletion ...ed_docs/version-0.10.0-legacy/03-hooks/02-computer-vision/useObjectDetection.md
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Expand Up @@ -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
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2 changes: 1 addition & 1 deletion ...ned_docs/version-0.10.0-legacy/03-hooks/02-computer-vision/usePoseEstimation.md
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Expand Up @@ -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
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2 changes: 1 addition & 1 deletion ...cs/version-0.10.0-legacy/03-hooks/02-computer-vision/useSemanticSegmentation.md
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Expand Up @@ -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
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2 changes: 1 addition & 1 deletion ...oned_docs/version-0.10.0-legacy/03-hooks/02-computer-vision/useStyleTransfer.md
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Expand Up @@ -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
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2 changes: 1 addition & 1 deletion ...sioned_docs/version-0.10.0-legacy/03-hooks/02-computer-vision/useTextToImage.md
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Expand Up @@ -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
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2 changes: 1 addition & 1 deletion ...sioned_docs/version-0.10.0-legacy/03-hooks/02-computer-vision/useVerticalOCR.md
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Expand Up @@ -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
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2 changes: 1 addition & 1 deletion ...s/version-0.10.0-legacy/03-hooks/02-computer-vision/visioncamera-integration.md
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Expand Up @@ -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

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2 changes: 1 addition & 1 deletion .../versioned_docs/version-0.5.x/02-hooks/01-natural-language-processing/useLLM.md
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Expand Up @@ -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
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