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1717This PyPI package includes the Python bindings for following features:
1818
19+ - Task Library: a set of powerful and easy-to-use task-specific libraries to
20+ integrate TFLite models onto various platforms. See the [Task Library
21+ documentation](https://www.tensorflow.org/lite/inference_with_metadata/task_library/overview)
22+ for more information.
1923 - Metadata schemas: wraps TFLite model schema and metadata schema in Python.
20- - Metadata populator and displayer: can be used to populate the metadata and
24+ - Metadata writer and displayer: can be used to populate the metadata and
2125 associated files into the model, as well as converting the populated metadata
22- into the json format.
26+ into the json format. See the [Metadata
27+ documentation](https://www.tensorflow.org/lite/convert/metadata) for more
28+ information.
2329 - Android Codegen tool: generates the Java model interface used in Android for
24- a particular model.
30+ a particular model. See the [Codegen tool
31+ documentation](https://www.tensorflow.org/lite/inference_with_metadata/codegen)
32+ for more information.
2533"""
2634
2735from __future__ import absolute_import
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