refactor!: add static factories for remaining models

docs/docs/04-typescript-api/01-natural-language-processing/VADModule.md

@@ -14,10 +14,10 @@ TypeScript API implementation of the [useVAD](../../03-hooks/01-natural-language
 ```typescript
 import { VADModule, FSMN_VAD } from 'react-native-executorch';
 
-const model = new VADModule();
-await model.load(FSMN_VAD, (progress) => {
-  console.log(progress);
-});
+const model = await VADModule.fromModelName(
+  { modelSource: FSMN_VAD },
+  (progress) => console.log(progress)
+);
 
 await model.forward(waveform);
 ```
@@ -28,14 +28,14 @@ All methods of `VADModule` are explained in details here: [`VADModule` API Refer
 
 ## Loading the model
 
-To initialize the module, create an instance and call the [`load`](../../06-api-reference/classes/VADModule.md#load) method with the following parameters:
+To create a ready-to-use instance, call the static [`fromModelName`](../../06-api-reference/classes/VADModule.md#frommodelname) factory with the following parameters:
 
-- [`model`](../../06-api-reference/classes/VADModule.md#model) - Object containing:
-  - [`modelSource`](../../06-api-reference/classes/VADModule.md#modelsource) - Location of the used model.
+- `model` - Object containing:
+  - `modelSource` - Location of the model binary.
 
-- [`onDownloadProgressCallback`](../../06-api-reference/classes/VADModule.md#ondownloadprogresscallback) - Callback to track download progress.
+- `onDownloadProgress` - Optional callback to track download progress (value between 0 and 1).
 
-This method returns a promise, which can resolve to an error or void.
+The factory returns a promise that resolves to a loaded `VADModule` instance.
 
 For more information on loading resources, take a look at [loading models](../../01-fundamentals/02-loading-models.md) page.
 

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

@@ -19,11 +19,10 @@ import {
 
 const imageUri = 'path/to/image.png';
 
-// Creating an instance
-const classificationModule = new ClassificationModule();
-
-// Loading the model
-await classificationModule.load(EFFICIENTNET_V2_S);
+// Creating and loading the module
+const classificationModule = await ClassificationModule.fromModelName({
+  modelSource: EFFICIENTNET_V2_S,
+});
 
 // Running the model
 const classesWithProbabilities = await classificationModule.forward(imageUri);
@@ -35,14 +34,14 @@ All methods of `ClassificationModule` are explained in details here: [`Classific
 
 ## Loading the model
 
-To initialize the module, create an instance and call the [`load`](../../06-api-reference/classes/ClassificationModule.md#load) method with the following parameters:
+To create a ready-to-use instance, call the static [`fromModelName`](../../06-api-reference/classes/ClassificationModule.md#frommodelname) factory with the following parameters:
 
-- [`model`](../../06-api-reference/classes/ClassificationModule.md#model) - Object containing:
-  - [`modelSource`](../../06-api-reference/classes/ClassificationModule.md#modelsource) - Location of the used model.
+- `model` - Object containing:
+  - `modelSource` - Location of the model binary.
 
-- [`onDownloadProgressCallback`](../../06-api-reference/classes/ClassificationModule.md#ondownloadprogresscallback) - Callback to track download progress.
+- `onDownloadProgress` - Optional callback to track download progress (value between 0 and 1).
 
-This method returns a promise, which can resolve to an error or void.
+The factory returns a promise that resolves to a loaded `ClassificationModule` instance.
 
 For more information on loading resources, take a look at [loading models](../../01-fundamentals/02-loading-models.md) page.
 

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

@@ -17,11 +17,10 @@ import {
   CLIP_VIT_BASE_PATCH32_IMAGE,
 } from 'react-native-executorch';
 
-// Creating an instance
-const imageEmbeddingsModule = new ImageEmbeddingsModule();
-
-// Loading the model
-await imageEmbeddingsModule.load(CLIP_VIT_BASE_PATCH32_IMAGE);
+// Creating and loading the module
+const imageEmbeddingsModule = await ImageEmbeddingsModule.fromModelName({
+  modelSource: CLIP_VIT_BASE_PATCH32_IMAGE,
+});
 
 // Running the model
 const embedding = await imageEmbeddingsModule.forward(
@@ -35,14 +34,14 @@ All methods of `ImageEmbeddingsModule` are explained in details here: [`ImageEmb
 
 ## Loading the model
 
-To initialize the module, create an instance and call the [`load`](../../06-api-reference/classes/ImageEmbeddingsModule.md#load) method with the following parameters:
+To create a ready-to-use instance, call the static [`fromModelName`](../../06-api-reference/classes/ImageEmbeddingsModule.md#frommodelname) factory with the following parameters:
 
-- [`model`](../../06-api-reference/classes/ImageEmbeddingsModule.md#model) - Object containing:
-  - [`modelSource`](../../06-api-reference/classes/ImageEmbeddingsModule.md#modelsource) - Location of the used model.
+- `model` - Object containing:
+  - `modelSource` - Location of the model binary.
 
-- [`onDownloadProgressCallback`](../../06-api-reference/classes/ImageEmbeddingsModule.md#ondownloadprogresscallback) - Callback to track download progress.
+- `onDownloadProgress` - Optional callback to track download progress (value between 0 and 1).
 
-This method returns a promise, which can resolve to an error or void.
+The factory returns a promise that resolves to a loaded `ImageEmbeddingsModule` instance.
 
 For more information on loading resources, take a look at [loading models](../../01-fundamentals/02-loading-models.md) page.
 

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

@@ -19,11 +19,10 @@ import {
 
 const imageUri = 'path/to/image.png';
 
-// Creating an instance
-const styleTransferModule = new StyleTransferModule();
-
-// Loading the model
-await styleTransferModule.load(STYLE_TRANSFER_CANDY);
+// Creating and loading the module
+const styleTransferModule = await StyleTransferModule.fromModelName({
+  modelSource: STYLE_TRANSFER_CANDY,
+});
 
 // Running the model
 const generatedImageUrl = await styleTransferModule.forward(imageUri);
@@ -35,14 +34,14 @@ All methods of `StyleTransferModule` are explained in details here: [`StyleTrans
 
 ## Loading the model
 
-To load the model, create a new instance of the module and use the [`load`](../../06-api-reference/classes/StyleTransferModule.md#load) method on it. It accepts an object:
+To create a ready-to-use instance, call the static [`fromModelName`](../../06-api-reference/classes/StyleTransferModule.md#frommodelname) factory with the following parameters:
 
-- [`model`](../../06-api-reference/classes/StyleTransferModule.md#model) - Object containing:
-  - [`modelSource`](../../06-api-reference/classes/StyleTransferModule.md#modelsource) - Location of the used model.
+- `model` - Object containing:
+  - `modelSource` - Location of the model binary.
 
-- [`onDownloadProgressCallback`](../../06-api-reference/classes/StyleTransferModule.md#ondownloadprogresscallback) - Callback to track download progress.
+- `onDownloadProgress` - Optional callback to track download progress (value between 0 and 1).
 
-This method returns a promise, which can resolve to an error or void.
+The factory returns a promise that resolves to a loaded `StyleTransferModule` instance.
 
 For more information on loading resources, take a look at [loading models](../../01-fundamentals/02-loading-models.md) page.
 

docs/docs/06-api-reference/classes/ClassificationModule.md

@@ -1,27 +1,13 @@
 # Class: ClassificationModule
 
-Defined in: [modules/computer_vision/ClassificationModule.ts:13](https://github.com/software-mansion/react-native-executorch/blob/main/packages/react-native-executorch/src/modules/computer_vision/ClassificationModule.ts#L13)
+Defined in: [modules/computer_vision/ClassificationModule.ts:14](https://github.com/software-mansion/react-native-executorch/blob/main/packages/react-native-executorch/src/modules/computer_vision/ClassificationModule.ts#L14)
 
 Module for image classification tasks.
 
 ## Extends
 
 - `BaseModule`
 
-## Constructors
-
-### Constructor
-
-> **new ClassificationModule**(): `ClassificationModule`
-
-#### Returns
-
-`ClassificationModule`
-
-#### Inherited from
-
-`BaseModule.constructor`
-
 ## Properties
 
 ### generateFromFrame()
@@ -116,7 +102,7 @@ Native module instance (JSI Host Object)
 
 > **delete**(): `void`
 
-Defined in: [modules/BaseModule.ts:100](https://github.com/software-mansion/react-native-executorch/blob/main/packages/react-native-executorch/src/modules/BaseModule.ts#L100)
+Defined in: [modules/BaseModule.ts:86](https://github.com/software-mansion/react-native-executorch/blob/main/packages/react-native-executorch/src/modules/BaseModule.ts#L86)
 
 Unloads the model from memory and releases native resources.
 
@@ -136,31 +122,31 @@ Always call this method when you're done with a model to prevent memory leaks.
 
 > **forward**(`imageSource`): `Promise`\<\{\[`category`: `string`\]: `number`; \}\>
 
-Defined in: [modules/computer_vision/ClassificationModule.ts:51](https://github.com/software-mansion/react-native-executorch/blob/main/packages/react-native-executorch/src/modules/computer_vision/ClassificationModule.ts#L51)
+Defined in: [modules/computer_vision/ClassificationModule.ts:57](https://github.com/software-mansion/react-native-executorch/blob/main/packages/react-native-executorch/src/modules/computer_vision/ClassificationModule.ts#L57)
 
-Executes the model's forward pass, where `imageSource` can be a fetchable resource or a Base64-encoded string.
+Executes the model's forward pass to classify the provided image.
 
 #### Parameters
 
 ##### imageSource
 
 `string`
 
-The image source to be classified.
+A string image source (file path, URI, or Base64).
 
 #### Returns
 
 `Promise`\<\{\[`category`: `string`\]: `number`; \}\>
 
-The classification result.
+A Promise resolving to an object mapping category labels to confidence scores.
 
 ---
 
 ### forwardET()
 
 > `protected` **forwardET**(`inputTensor`): `Promise`\<[`TensorPtr`](../interfaces/TensorPtr.md)[]\>
 
-Defined in: [modules/BaseModule.ts:80](https://github.com/software-mansion/react-native-executorch/blob/main/packages/react-native-executorch/src/modules/BaseModule.ts#L80)
+Defined in: [modules/BaseModule.ts:66](https://github.com/software-mansion/react-native-executorch/blob/main/packages/react-native-executorch/src/modules/BaseModule.ts#L66)
 
 **`Internal`**
 
@@ -191,7 +177,7 @@ Array of output tensors.
 
 > **getInputShape**(`methodName`, `index`): `Promise`\<`number`[]\>
 
-Defined in: [modules/BaseModule.ts:91](https://github.com/software-mansion/react-native-executorch/blob/main/packages/react-native-executorch/src/modules/BaseModule.ts#L91)
+Defined in: [modules/BaseModule.ts:77](https://github.com/software-mansion/react-native-executorch/blob/main/packages/react-native-executorch/src/modules/BaseModule.ts#L77)
 
 Gets the input shape for a given method and index.
 
@@ -221,35 +207,36 @@ The input shape as an array of numbers.
 
 ---
 
-### load()
+### fromModelName()
 
-> **load**(`model`, `onDownloadProgressCallback?`): `Promise`\<`void`\>
+> `static` **fromModelName**(`model`, `onDownloadProgress?`): `Promise`\<`ClassificationModule`\>
 
-Defined in: [modules/computer_vision/ClassificationModule.ts:21](https://github.com/software-mansion/react-native-executorch/blob/main/packages/react-native-executorch/src/modules/computer_vision/ClassificationModule.ts#L21)
+Defined in: [modules/computer_vision/ClassificationModule.ts:27](https://github.com/software-mansion/react-native-executorch/blob/main/packages/react-native-executorch/src/modules/computer_vision/ClassificationModule.ts#L27)
 
-Loads the model, where `modelSource` is a string that specifies the location of the model binary.
-To track the download progress, supply a callback function `onDownloadProgressCallback`.
+Creates a classification instance for a built-in model.
 
 #### Parameters
 
 ##### model
 
-Object containing `modelSource`.
+An object specifying which built-in model to load and where to fetch it from.
+
+###### modelName
+
+`"efficientnet-v2-s"`
 
 ###### modelSource
 
 [`ResourceSource`](../type-aliases/ResourceSource.md)
 
-##### onDownloadProgressCallback?
+##### onDownloadProgress?
 
 (`progress`) => `void`
 
-Optional callback to monitor download progress.
+Optional callback to monitor download progress, receiving a value between 0 and 1.
 
 #### Returns
 
-`Promise`\<`void`\>
-
-#### Overrides
+`Promise`\<`ClassificationModule`\>
 
-`BaseModule.load`
+A Promise resolving to a `ClassificationModule` instance.

docs/docs/06-api-reference/classes/ExecutorchModule.md

@@ -116,7 +116,7 @@ Native module instance (JSI Host Object)
 
 > **delete**(): `void`
 
-Defined in: [modules/BaseModule.ts:100](https://github.com/software-mansion/react-native-executorch/blob/main/packages/react-native-executorch/src/modules/BaseModule.ts#L100)
+Defined in: [modules/BaseModule.ts:86](https://github.com/software-mansion/react-native-executorch/blob/main/packages/react-native-executorch/src/modules/BaseModule.ts#L86)
 
 Unloads the model from memory and releases native resources.
 
@@ -161,7 +161,7 @@ An array of output tensor pointers.
 
 > `protected` **forwardET**(`inputTensor`): `Promise`\<[`TensorPtr`](../interfaces/TensorPtr.md)[]\>
 
-Defined in: [modules/BaseModule.ts:80](https://github.com/software-mansion/react-native-executorch/blob/main/packages/react-native-executorch/src/modules/BaseModule.ts#L80)
+Defined in: [modules/BaseModule.ts:66](https://github.com/software-mansion/react-native-executorch/blob/main/packages/react-native-executorch/src/modules/BaseModule.ts#L66)
 
 **`Internal`**
 
@@ -192,7 +192,7 @@ Array of output tensors.
 
 > **getInputShape**(`methodName`, `index`): `Promise`\<`number`[]\>
 
-Defined in: [modules/BaseModule.ts:91](https://github.com/software-mansion/react-native-executorch/blob/main/packages/react-native-executorch/src/modules/BaseModule.ts#L91)
+Defined in: [modules/BaseModule.ts:77](https://github.com/software-mansion/react-native-executorch/blob/main/packages/react-native-executorch/src/modules/BaseModule.ts#L77)
 
 Gets the input shape for a given method and index.
 
@@ -248,7 +248,3 @@ Optional callback to monitor download progress.
 #### Returns
 
 `Promise`\<`void`\>
-
-#### Overrides
-
-`BaseModule.load`