semvec/pypi-packages huggingface dataset:
tflite-support-python3.10 3.10.0
TFLite Support is a toolkit that helps users to develop ML and deploy TFLite models onto mobile devices.
License: Apache 2.0

TFLite Support is a toolkit that helps users to develop ML and deploy TFLite models onto mobile devices.

This PyPI package includes the Python bindings for following features:

 - Task Library: a set of powerful and easy-to-use task-specific libraries to
 integrate TFLite models onto various platforms. See the [Task Library
 documentation](https://www.tensorflow.org/lite/inference_with_metadata/task_library/overview)
 for more information.
 - Metadata schemas: wraps TFLite model schema and metadata schema in Python.
 - Metadata writer and displayer: can be used to populate the metadata and
 associated files into the model, as well as converting the populated metadata
 into the json format. See the [Metadata
 documentation](https://www.tensorflow.org/lite/convert/metadata) for more
 information.
 - Android Codegen tool: generates the Java model interface used in Android for
 a particular model. See the [Codegen tool
 documentation](https://www.tensorflow.org/lite/inference_with_metadata/codegen)
 for more information.