Skip to main content

LiteRT is for mobile and embedded devices.

Project description

LiteRT 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


Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distributions

No source distribution files available for this release.See tutorial on generating distribution archives.

Built Distributions

ai_edge_litert-1.2.0-cp312-cp312-manylinux_2_17_x86_64.whl (3.5 MB view details)

Uploaded CPython 3.12 manylinux: glibc 2.17+ x86-64

ai_edge_litert-1.2.0-cp312-cp312-manylinux_2_17_aarch64.whl (2.0 MB view details)

Uploaded CPython 3.12 manylinux: glibc 2.17+ ARM64

ai_edge_litert-1.2.0-cp312-cp312-macosx_12_0_arm64.whl (1.8 MB view details)

Uploaded CPython 3.12 macOS 12.0+ ARM64

ai_edge_litert-1.2.0-cp311-cp311-manylinux_2_17_x86_64.whl (3.5 MB view details)

Uploaded CPython 3.11 manylinux: glibc 2.17+ x86-64

ai_edge_litert-1.2.0-cp311-cp311-manylinux_2_17_aarch64.whl (2.0 MB view details)

Uploaded CPython 3.11 manylinux: glibc 2.17+ ARM64

ai_edge_litert-1.2.0-cp311-cp311-macosx_12_0_arm64.whl (1.8 MB view details)

Uploaded CPython 3.11 macOS 12.0+ ARM64

ai_edge_litert-1.2.0-cp310-cp310-manylinux_2_17_x86_64.whl (3.5 MB view details)

Uploaded CPython 3.10 manylinux: glibc 2.17+ x86-64

ai_edge_litert-1.2.0-cp310-cp310-manylinux_2_17_aarch64.whl (2.0 MB view details)

Uploaded CPython 3.10 manylinux: glibc 2.17+ ARM64

ai_edge_litert-1.2.0-cp310-cp310-macosx_12_0_arm64.whl (1.8 MB view details)

Uploaded CPython 3.10 macOS 12.0+ ARM64

ai_edge_litert-1.2.0-cp39-cp39-manylinux_2_17_x86_64.whl (3.5 MB view details)

Uploaded CPython 3.9 manylinux: glibc 2.17+ x86-64

ai_edge_litert-1.2.0-cp39-cp39-manylinux_2_17_aarch64.whl (2.0 MB view details)

Uploaded CPython 3.9 manylinux: glibc 2.17+ ARM64

ai_edge_litert-1.2.0-cp39-cp39-macosx_12_0_arm64.whl (1.8 MB view details)

Uploaded CPython 3.9 macOS 12.0+ ARM64

File details

Details for the file ai_edge_litert-1.2.0-cp312-cp312-manylinux_2_17_x86_64.whl.

File metadata

File hashes

Hashes for ai_edge_litert-1.2.0-cp312-cp312-manylinux_2_17_x86_64.whl
Algorithm Hash digest
SHA256 cd9a8e6411c9684aaa9fd9683330f3ed9791861707e32f5d2d267e11f8014fe1
MD5 d5f4a2a2ab898c58fb55d01c0d3d4796
BLAKE2b-256 799b902b0b004d49e917c2c9aaedc44f3c1c6487dd40a23b750c81543956b977

See more details on using hashes here.

File details

Details for the file ai_edge_litert-1.2.0-cp312-cp312-manylinux_2_17_aarch64.whl.

File metadata

File hashes

Hashes for ai_edge_litert-1.2.0-cp312-cp312-manylinux_2_17_aarch64.whl
Algorithm Hash digest
SHA256 f8f7c89b78431328337abe94e05ec16016a3707d871be2f32e533c01df91a252
MD5 6b026e6eabf8c758dae71fde6255f727
BLAKE2b-256 83aa5877a7c2a9b2dad43aa71aa80c848c45785daf28135009051c14ccbf19d1

See more details on using hashes here.

File details

Details for the file ai_edge_litert-1.2.0-cp312-cp312-macosx_12_0_arm64.whl.

File metadata

File hashes

Hashes for ai_edge_litert-1.2.0-cp312-cp312-macosx_12_0_arm64.whl
Algorithm Hash digest
SHA256 935778c4b1d25f12d39fda770536f9bece1d6e34fc6c49db0f59da6e43e74b77
MD5 66b2776e9825b493fbb2d2a8479cdc5f
BLAKE2b-256 729bf96dff626f3c28d4c3567b8de537fdb5a7761bb18eac87d4b0a667af50f2

See more details on using hashes here.

File details

Details for the file ai_edge_litert-1.2.0-cp311-cp311-manylinux_2_17_x86_64.whl.

File metadata

File hashes

Hashes for ai_edge_litert-1.2.0-cp311-cp311-manylinux_2_17_x86_64.whl
Algorithm Hash digest
SHA256 3648518458b17bdab2e0fbab76d3ad520765298a2694a25571bd9ad3160a3c85
MD5 95a389da1e4cb8b43b192163a07f7e62
BLAKE2b-256 3b2be5298c68d314e3d3f7619af5445ffa613901562d3a30356f9512898f697b

See more details on using hashes here.

File details

Details for the file ai_edge_litert-1.2.0-cp311-cp311-manylinux_2_17_aarch64.whl.

File metadata

File hashes

Hashes for ai_edge_litert-1.2.0-cp311-cp311-manylinux_2_17_aarch64.whl
Algorithm Hash digest
SHA256 b27baeca57c60512c2e9f6fbeade486f4785d42f2d88853db2f2e6bfd6a8331c
MD5 369f46eb8c312613a83942782b3c6aef
BLAKE2b-256 cf7dccf5a9230b1e309c05cb6ccd329fd84b6a8817826dac4a3c0b5e7faf57c7

See more details on using hashes here.

File details

Details for the file ai_edge_litert-1.2.0-cp311-cp311-macosx_12_0_arm64.whl.

File metadata

File hashes

Hashes for ai_edge_litert-1.2.0-cp311-cp311-macosx_12_0_arm64.whl
Algorithm Hash digest
SHA256 cea0f219cad3d5404748a44d3f47d66ae93467795fc8b1768d433baeb6ce425c
MD5 5c41179351381ac993adf634eaf71324
BLAKE2b-256 dfb50b3219c8b4343d86b0ef57edeb7531bbd5a1a83d32ce51f7202aa187951e

See more details on using hashes here.

File details

Details for the file ai_edge_litert-1.2.0-cp310-cp310-manylinux_2_17_x86_64.whl.

File metadata

File hashes

Hashes for ai_edge_litert-1.2.0-cp310-cp310-manylinux_2_17_x86_64.whl
Algorithm Hash digest
SHA256 df266411a45e0af7cc52ff932e0676190b30a3589b18c985f36390d8bd339160
MD5 854fe384c36444c688c6707f51d46113
BLAKE2b-256 078a279d2b47359ae8ebe60f10cd2ce2adfca9b5982bac6b3f278121e72de253

See more details on using hashes here.

File details

Details for the file ai_edge_litert-1.2.0-cp310-cp310-manylinux_2_17_aarch64.whl.

File metadata

File hashes

Hashes for ai_edge_litert-1.2.0-cp310-cp310-manylinux_2_17_aarch64.whl
Algorithm Hash digest
SHA256 397dfcefa2356ab0ea39364f8ce53666c1f8d6e655ca5d34c5279fd08a6877fb
MD5 f76c315448cc070417e3a23a00247a7e
BLAKE2b-256 80c88dbe83ed922b1d0b578a09e5fa7218a8b74459786dde555d541aad39ff57

See more details on using hashes here.

File details

Details for the file ai_edge_litert-1.2.0-cp310-cp310-macosx_12_0_arm64.whl.

File metadata

File hashes

Hashes for ai_edge_litert-1.2.0-cp310-cp310-macosx_12_0_arm64.whl
Algorithm Hash digest
SHA256 9524f4a9294be8f8f66c36b17d3d16cd9f577464a78199bd121abe16235262f2
MD5 c51434e2c3944e3a0193393b013e8254
BLAKE2b-256 f4af182cab9536f76ae08ba6e1f5b15552f71da3ef9d9fc1ee09961f726b7dc5

See more details on using hashes here.

File details

Details for the file ai_edge_litert-1.2.0-cp39-cp39-manylinux_2_17_x86_64.whl.

File metadata

File hashes

Hashes for ai_edge_litert-1.2.0-cp39-cp39-manylinux_2_17_x86_64.whl
Algorithm Hash digest
SHA256 8167ba3b8a5d384020ff458c83435b53bdc1c9b406360f97883f2bd06fb04bd9
MD5 0440cbc9d5c08a5b61eda7a10b391d0a
BLAKE2b-256 d7d976b51906ffb5f26f2e60ba157e820495419e6bad8dca5450d959b4ea8fdb

See more details on using hashes here.

File details

Details for the file ai_edge_litert-1.2.0-cp39-cp39-manylinux_2_17_aarch64.whl.

File metadata

File hashes

Hashes for ai_edge_litert-1.2.0-cp39-cp39-manylinux_2_17_aarch64.whl
Algorithm Hash digest
SHA256 28e3fe0e12206bf4d02cd2c22c09db66209afb705af4d93ddc982b02d7068343
MD5 5f1d33f1af0cb4fdaf6c314efb7bfe39
BLAKE2b-256 bf670983f38b1ef35bf2e94c169c1c270f366b1848b1a06522d4e35b234e4817

See more details on using hashes here.

File details

Details for the file ai_edge_litert-1.2.0-cp39-cp39-macosx_12_0_arm64.whl.

File metadata

File hashes

Hashes for ai_edge_litert-1.2.0-cp39-cp39-macosx_12_0_arm64.whl
Algorithm Hash digest
SHA256 09ea12aa2cc1fcc418206d20b7f6cd6ce322081e8e9379f86ca269f96c52b1f2
MD5 63452c9d257b9c2fd6a1cf51cef00cdf
BLAKE2b-256 1a06ade6df939854b54f617eba33b205642aa16f5b3d8dd0d710e0eb193b703d

See more details on using hashes here.

Supported by

AWS Cloud computing and Security Sponsor Datadog Monitoring Fastly CDN Google Download Analytics Pingdom Monitoring Sentry Error logging StatusPage Status page