| Name | tflite-support JSON |
| Version |
0.4.4
JSON |
| download |
| home_page | https://www.tensorflow.org/ |
| Summary | TFLite Support is a toolkit that helps users to develop ML and deploy TFLite models onto mobile devices. |
| upload_time | 2023-07-12 18:47:34 |
| maintainer | |
| docs_url | None |
| author | Google, LLC. |
| requires_python | |
| license | Apache 2.0 |
| keywords |
|
| VCS |
 |
| bugtrack_url |
|
| requirements |
No requirements were recorded.
|
| Travis-CI |
No Travis.
|
| coveralls test coverage |
No coveralls.
|
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.
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