Deploy and manage custom models

To deploy a TensorFlow Lite model:

1. Open the Firebase ML Custom model page in the Firebase console.
2. Click Add custom model (or Add another model).
3. Specify a name that will be used to identify your model in your Firebase project, then upload the TensorFlow Lite model file (usually ending in .tflite or .lite).

After you deploy your model, you can find it on the Custom page. From there, you can complete tasks such as updating the model with a new file, downloading the model, and deleting the model from your project.