LiteRT requires models to be in a specialized format for on-device execution.
This step is commonly referred to as "conversion" and uses LiteRT conversion
components to convert from one model format to LiteRT's representation.
Multi-Framework Conversion Support
LiteRT supports converting models from PyTorch and TensorFlow.
[[["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complicated / too many steps","tooComplicatedTooManySteps","thumb-down"],["Out of date","outOfDate","thumb-down"],["Samples / code issue","samplesCodeIssue","thumb-down"],["Other","otherDown","thumb-down"]],["Last updated 2025-12-05 UTC."],[],[]]
