implementation("dev.kursor.ktensorflow:ktensorflow-moko:1.1")Integrates TensorFlow Lite models into projects, enabling inference execution and model management. Supports loading `.tflite` models from shared modules without platform-specific code. Provides a unified API for running inference across platforms. Offers hardware acceleration with GPU and NPU. Includes tensor operations like creation, casting, mapping, arithmetic, `argmax`, and `argmin`. Features a Pipeline module for data preprocessing and postprocessing. Provides platform-specific functions for fine-grained inference setup.