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Custom Models
plat_iosplat_android
If you use custom
TensorFlow Lite models,
Firebase ML can help you ensure your users are always using the
best-available version of your custom model. When you deploy your model with
Firebase, Firebase ML only downloads the model when it's needed and
automatically updates your users with the latest version.
Deploy your models using Firebase to reduce your app's binary size and to
make sure your app is always using the most recent version available of
your model
On-device ML inference
Perform inference in an Apple or Android app using the TensorFlow Lite
interpreter with your model.
Automatic model updates
Configure the conditions under which your app automatically downloads
new versions of your model: when the user's device is idle, is charging,
or has a Wi-Fi connection
Implementation path
Train your TensorFlow model
Build and train a custom model using TensorFlow. Or, re-train an
existing model that solves a problem similar to what you want to achieve.
Convert the model to TensorFlow Lite
Convert your model from HDF5 or frozen graph format to TensorFlow Lite
using the
TensorFlow Lite converter.
Deploy your TensorFlow Lite model to Firebase
Optional: When you deploy your TensorFlow Lite model to Firebase and
include the Firebase ML SDK in your
app, Firebase ML keeps your users up to
date with the latest version of your model. You can configure it to
automatically download model updates when the user's device is idle or
charging, or has a Wi-Fi connection.
Use the TensorFlow Lite model for inference
Use the TensorFlow Lite interpreter in your Apple or Android app to
perform inference with models deployed using Firebase.
Codelabs
Try some codelabs to learn hands-on how Firebase can help you use
TensorFlow Lite models more easily and effectively.
[[["Easy to understand","easyToUnderstand","thumb-up"],["Solved my problem","solvedMyProblem","thumb-up"],["Other","otherUp","thumb-up"]],[["Missing the information I need","missingTheInformationINeed","thumb-down"],["Too complicated / too many steps","tooComplicatedTooManySteps","thumb-down"],["Out of date","outOfDate","thumb-down"],["Samples / code issue","samplesCodeIssue","thumb-down"],["Other","otherDown","thumb-down"]],["Last updated 2025-08-15 UTC."],[],[],null,["Custom Models \nplat_ios plat_android \nIf you use custom\n[TensorFlow Lite](https://www.tensorflow.org/lite/) models,\nFirebase ML can help you ensure your users are always using the\nbest-available version of your custom model. When you deploy your model with\nFirebase, Firebase ML only downloads the model when it's needed and\nautomatically updates your users with the latest version.\n\n\u003cbr /\u003e\n\nReady to get started? Choose your platform:\n\n[iOS+](/docs/ml/ios/use-custom-models)\n[Android](/docs/ml/android/use-custom-models)\n\n\u003cbr /\u003e\n\n| This is a beta release of Firebase ML. This API might be changed in backward-incompatible ways and is not subject to any SLA or deprecation policy.\n\nKey capabilities\n\nImplementation path\n\nCodelabs\n\nTry some [codelabs](/docs/ml/codelabs) to learn hands-on how Firebase can help you use\nTensorFlow Lite models more easily and effectively."]]
