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TensorFlow Lite is for mobile and embedded devices.

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.

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tflite_runtime-2.14.0-cp311-cp311-manylinux_2_34_armv7l.whl (1.8 MB view hashes)

Uploaded CPython 3.11 manylinux: glibc 2.34+ ARMv7l

tflite_runtime-2.14.0-cp311-cp311-manylinux_2_34_aarch64.whl (2.3 MB view hashes)

Uploaded CPython 3.11 manylinux: glibc 2.34+ ARM64

tflite_runtime-2.14.0-cp310-cp310-manylinux_2_34_armv7l.whl (1.8 MB view hashes)

Uploaded CPython 3.10 manylinux: glibc 2.34+ ARMv7l

tflite_runtime-2.14.0-cp310-cp310-manylinux_2_34_aarch64.whl (2.3 MB view hashes)

Uploaded CPython 3.10 manylinux: glibc 2.34+ ARM64

tflite_runtime-2.14.0-cp39-cp39-manylinux_2_34_armv7l.whl (1.8 MB view hashes)

Uploaded CPython 3.9 manylinux: glibc 2.34+ ARMv7l

tflite_runtime-2.14.0-cp39-cp39-manylinux_2_34_aarch64.whl (2.3 MB view hashes)

Uploaded CPython 3.9 manylinux: glibc 2.34+ ARM64

tflite_runtime-2.14.0-cp38-cp38-manylinux_2_34_armv7l.whl (1.8 MB view hashes)

Uploaded CPython 3.8 manylinux: glibc 2.34+ ARMv7l

tflite_runtime-2.14.0-cp38-cp38-manylinux_2_34_aarch64.whl (2.3 MB view hashes)

Uploaded CPython 3.8 manylinux: glibc 2.34+ ARM64

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