tflite-runtime

TensorFlow Lite is for mobile and embedded devices.

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ai-edge coral-support terryheo tflite-support-robot

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Project description

TensorFlow Lite is the official solution for running machine learning models on mobile and embedded devices. It enables on-device machine learning inference with low latency and a small binary size on Android, iOS, and other operating systems.

Project details

These details have been verified by PyPI

Maintainers

ai-edge coral-support terryheo tflite-support-robot

These details have not been verified by PyPI

Project links

Homepage

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Release history Release notifications | RSS feed

2.14.0

Oct 3, 2023

2.13.0

Jul 7, 2023

2.12.0

May 8, 2023

2.11.0

Dec 6, 2022

2.10.0

Sep 3, 2022

2.9.1

Jun 15, 2022

2.8.0

Apr 12, 2022

2.7.0

Dec 8, 2021

This version

2.5.0

Oct 11, 2021

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tflite_runtime-2.5.0-cp38-cp38-win_amd64.whl (746.8 kB view hashes)

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tflite_runtime-2.5.0-cp38-cp38-macosx_10_15_x86_64.whl (1.3 MB view hashes)

Uploaded Oct 11, 2021 CPython 3.8 macOS 10.15+ x86-64

tflite_runtime-2.5.0-cp38-cp38-linux_armv7l.whl (1.1 MB view hashes)

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tflite_runtime-2.5.0-cp37-cp37m-win_amd64.whl (747.0 kB view hashes)

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tflite_runtime-2.5.0-cp37-cp37m-macosx_10_15_x86_64.whl (1.3 MB view hashes)

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tflite_runtime-2.5.0-cp37-cp37m-linux_armv7l.whl (1.1 MB view hashes)

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tflite_runtime-2.5.0-cp36-cp36m-linux_armv7l.whl (1.1 MB view hashes)

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tflite_runtime-2.5.0-cp35-cp35m-win_amd64.whl (747.0 kB view hashes)

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tflite_runtime-2.5.0-cp35-cp35m-linux_armv7l.whl (1.2 MB view hashes)

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