diff --git a/src/@awesome-cordova-plugins/plugins/firebase-model/index.ts b/src/@awesome-cordova-plugins/plugins/firebase-model/index.ts
deleted file mode 100644
index d84441bfb..000000000
--- a/src/@awesome-cordova-plugins/plugins/firebase-model/index.ts
+++ /dev/null
@@ -1,122 +0,0 @@
-import { Injectable } from '@angular/core';
-import {
-  Plugin,
-  Cordova,
-  CordovaProperty,
-  CordovaInstance,
-  InstanceProperty,
-  IonicNativePlugin,
-} from '@ionic-native/core';
-import { Observable } from 'rxjs';
-
-export enum FirebaseModelStatus {
-  downloading = 'downloading',
-  completed = 'completed',
-}
-
-export enum FirebaseModelInputType {
-  path = 'path',
-  base64string = 'base64string',
-  blob = 'blob',
-}
-
-export class FirebaseModelConfigResult {
-  /**
-   * Returns the current status of the model.
-   */
-  status: FirebaseModelStatus;
-  /**
-   * Returns the current progress of the downloading model.
-   */
-  progress: number;
-}
-
-export class FirebaseModelClassifyResult {
-  /**
-   * Return the identified image label name.
-   */
-  label: string;
-  /**
-   * Returns the confidence score of the identified image.
-   */
-  score: number;
-}
-
-export class FirebaseModelInput {
-  /**
-   * Set the one of the input types defined in FirebaseModelInputType enum.
-   */
-  inputType: FirebaseModelInputType;
-  /**
-   * Set the input as string | Blob based on the `inputType`
-   */
-  input: string | Blob;
-}
-
-/**
- * @name Firebase Model
- * @description This plugin downloads the TensorFlow model from firebase and classify the images.
- *
- * ```typescript
- * import { FirebaseModel } from '@ionic-native/ionic-native-firebase-model';
- *
- *
- * constructor(private firebaseModel: FirebaseModel) { }
- *
- * ...
- *
- *
- * this.firebaseModel.configure('Sample_Model')
- *   .subscribe((res: FirebaseModelConfigResult) => console.log(res.status + " - " + res.progress))
- *   .catch((error: any) => console.error(error));
- *
- *
- * try {
- *    var result:FirebaseModelClassifyResult = await this.firebaseModel.classify("/Documents/input_image.png")
- *    console.log(result.label + " - " + result.score)
- *
- * }
- * catch (e) {
- *    console.log(e)
- * }
- *
- *
- * ```
- */
-@Plugin({
-  pluginName: 'FirebaseModel',
-  plugin: 'cordova-plugin-firebase-model', // npm package name, example: cordova-plugin-camera
-  pluginRef: 'FirebaseModel', // the variable reference to call the plugin, example: navigator.geolocation
-  repo: '', // the github repository URL for the plugin
-  install: 'ionic cordova plugin add cordova-plugin-firebase-model', // OPTIONAL install command, in case the plugin requires variables
-  installVariables: [], // OPTIONAL the plugin requires variables
-  platforms: ['iOS'], // Array of platforms supported, example: ['Android', 'iOS']
-})
-@Injectable()
-export class FirebaseModel extends IonicNativePlugin {
-  /**
-   * This function configure the Firebase TFLite model and downloads.
-   * @param {string} arg1 Name of the TFLite model which is uploaded in the Firebase console
-   * @returns {Observable<FirebaseModelConfigResult>} Returns a observable that gives the callback for downloading progress and status.
-   *
-   */
-  @Cordova({
-    successIndex: 1,
-    errorIndex: 2,
-    observable: true,
-  })
-  configure(arg1: string): Observable<FirebaseModelConfigResult> {
-    return;
-  }
-
-  /**
-   * This function identify the image using the Firebase TFLite model which is configured.
-   * @param {FirebaseModelInput} arg1  Base64 string of the input image or .
-   * @returns {Promise<FirebaseModelClassifyResult>} Returns a promise that resolves the classification result.
-   *
-   */
-  @Cordova()
-  classify(arg1: FirebaseModelInput): Promise<FirebaseModelClassifyResult> {
-    return;
-  }
-}