View Source API Reference tflite_beam v1.0.0-rc2
Modules
What this build of the library is.
Runs basic tokenization such as punctuation spliting, lower casing.
This module contains libcoral C++ API, which provides convenient functions to perform inferencing and on-device transfer learning with TensorFlow Lite models on [Coral devices](https://coral.ai/products/).
TfLite delegates: graph accelerators an interpreter builder can be given.
ErrorReporter to provide reporting destinations.
An RAII object that represents a read-only tflite model, copied from disk, or mmapped.
Runs end-to-end tokenization.
An interpreter for a graph of nodes that input and output from tensors.
Build an interpreter capable of interpreting model.
An interpreter that lives inside a process, so that feeding it, running it and reading the result back is one step that nothing can interleave with.
This built-in op resolver provides a list of TfLite delegates that could be applied by TfLite interpreter by default.
A runner for one of a model's signatures.
A typed multi-dimensional array used in Tensorflow Lite.
Runs WordPiece tokenziation.