How to use the @react-native-firebase/app/lib/common.validateOptionalNativeDependencyExists function in @react-native-firebase/app

identifyLanguage(text, options = {}) {
    validateOptionalNativeDependencyExists(
      'ml_natural_language_language_id_model',
      'ML Kit Language Identification',
      !!this.native.identifyLanguage,
    );
    validateIdentifyLanguageArgs(text, options, 'identifyLanguage');
    return this.native.identifyLanguage(text.slice(0, 200), options);
  }

identifyPossibleLanguages(text, options = {}) {
    validateOptionalNativeDependencyExists(
      'ml_natural_language_language_id_model',
      'ML Kit Language Identification',
      !!this.native.identifyPossibleLanguages,
    );
    validateIdentifyLanguageArgs(text, options, 'identifyPossibleLanguages');
    return this.native.identifyPossibleLanguages(
      text.slice(0, 200),
      Object.assign({}, options, { multipleLanguages: true }),
    );
  }

cloudImageLabelerProcessImage(localImageFilePath, cloudImageLabelerOptions) {
    validateOptionalNativeDependencyExists(
      'ml_vision_image_label_model',
      'ML Kit Vision Image Labeler',
      !!this.native.imageLabelerProcessImage,
    );

    if (!isString(localImageFilePath)) {
      throw new Error(
        "firebase.vision().cloudImageLabelerProcessImage(*) 'localImageFilePath' expected a string local file path.",
      );
    }

    let options;
    try {
      options = visionCloudImageLabelerOptions(cloudImageLabelerOptions);
    } catch (e) {
      throw new Error(`firebase.vision().cloudImageLabelerProcessImage(_, *) ${e.message}.`);

imageLabelerProcessImage(localImageFilePath, imageLabelerOptions) {
    validateOptionalNativeDependencyExists(
      'ml_vision_image_label_model',
      'ML Kit Vision Image Labeler',
      !!this.native.imageLabelerProcessImage,
    );

    if (!isString(localImageFilePath)) {
      throw new Error(
        "firebase.vision().imageLabelerProcessImage(*) 'localImageFilePath' expected a string local file path.",
      );
    }

    let options;
    try {
      options = visionImageLabelerOptions(imageLabelerOptions);
    } catch (e) {
      throw new Error(`firebase.vision().imageLabelerProcessImage(_, *) ${e.message}.`);

faceDetectorProcessImage(localImageFilePath, faceDetectorOptions) {
    validateOptionalNativeDependencyExists(
      'ml_vision_face_model',
      'ML Kit Vision Face Detector',
      !!this.native.faceDetectorProcessImage,
    );

    if (!isString(localImageFilePath)) {
      throw new Error(
        "firebase.vision().faceDetectorProcessImage(*) 'localImageFilePath' expected a string local file path.",
      );
    }

    let options;
    try {
      options = visionFaceDetectorOptions(faceDetectorOptions);
    } catch (e) {
      throw new Error(