Try these codelabs to learn hands-on how Firebase can help you use TensorFlow Lite models more easily and effectively.
Sentiment analysis
In this codelab, you use your own training data to fine-tune an existing text classification model that identifies the sentiment expressed in a passage of text. Then, you deploy the model using Firebase ML and compare the accuracy of the old and new models with A/B Testing.
Content recommendation
Recommendation engines let you personalize experiences to individual users, presenting them with more relevant and engaging content. Rather than building out a complex pipeline to power this feature, this codelab shows how you can implement a content recommendation engine for an app by training and deploying an on-device ML model.