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


Release history Release notifications | RSS feed

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

If you're not sure about the file name format, learn more about wheel file names.

litert_converter-0.1.0.dev20260418-cp313-cp313-manylinux_2_27_x86_64.whl (116.0 MB view details)

Uploaded CPython 3.13manylinux: glibc 2.27+ x86-64

litert_converter-0.1.0.dev20260418-cp313-cp313-macosx_12_0_arm64.whl (99.1 MB view details)

Uploaded CPython 3.13macOS 12.0+ ARM64

litert_converter-0.1.0.dev20260418-cp312-cp312-manylinux_2_27_x86_64.whl (116.0 MB view details)

Uploaded CPython 3.12manylinux: glibc 2.27+ x86-64

litert_converter-0.1.0.dev20260418-cp312-cp312-macosx_12_0_arm64.whl (99.1 MB view details)

Uploaded CPython 3.12macOS 12.0+ ARM64

litert_converter-0.1.0.dev20260418-cp311-cp311-manylinux_2_27_x86_64.whl (116.0 MB view details)

Uploaded CPython 3.11manylinux: glibc 2.27+ x86-64

litert_converter-0.1.0.dev20260418-cp311-cp311-macosx_12_0_arm64.whl (99.1 MB view details)

Uploaded CPython 3.11macOS 12.0+ ARM64

litert_converter-0.1.0.dev20260418-cp310-cp310-manylinux_2_27_x86_64.whl (116.0 MB view details)

Uploaded CPython 3.10manylinux: glibc 2.27+ x86-64

litert_converter-0.1.0.dev20260418-cp310-cp310-macosx_12_0_arm64.whl (99.1 MB view details)

Uploaded CPython 3.10macOS 12.0+ ARM64

File details

Details for the file litert_converter-0.1.0.dev20260418-cp313-cp313-manylinux_2_27_x86_64.whl.

File metadata

File hashes

Hashes for litert_converter-0.1.0.dev20260418-cp313-cp313-manylinux_2_27_x86_64.whl
Algorithm Hash digest
SHA256 f7f3e3a7efb05c6af2f33f26ee0c2a0f7e2f13a01e9de9197cf61e8313b9abd1
MD5 358d8e1a8e2d42b4169496f92eba2039
BLAKE2b-256 c0e50db1f11ef1ca237e470ab5186fd6a14f23f14098d8ebb598ae211ff92b11

See more details on using hashes here.

File details

Details for the file litert_converter-0.1.0.dev20260418-cp313-cp313-macosx_12_0_arm64.whl.

File metadata

File hashes

Hashes for litert_converter-0.1.0.dev20260418-cp313-cp313-macosx_12_0_arm64.whl
Algorithm Hash digest
SHA256 453be0b7f90628e6249b61c537b6fa0bfbf73fdb8542e5d69395d6338f08b50e
MD5 6159d0109869cba6d1dd8cf54189f348
BLAKE2b-256 0ec55f6d6ec134ad7b2e28f475602add7709eec1e98677a767c3a241dad191aa

See more details on using hashes here.

File details

Details for the file litert_converter-0.1.0.dev20260418-cp312-cp312-manylinux_2_27_x86_64.whl.

File metadata

File hashes

Hashes for litert_converter-0.1.0.dev20260418-cp312-cp312-manylinux_2_27_x86_64.whl
Algorithm Hash digest
SHA256 66dc2959ee082b23e04b58efac02f5bdaa0d837698f9edf8ab88b400bcdbe2c3
MD5 d655aaf7cbdc6d41781aaa6f2792042b
BLAKE2b-256 188230bd49572129d923dcef6c90458e68b45f207c510cee2d51f8940706056c

See more details on using hashes here.

File details

Details for the file litert_converter-0.1.0.dev20260418-cp312-cp312-macosx_12_0_arm64.whl.

File metadata

File hashes

Hashes for litert_converter-0.1.0.dev20260418-cp312-cp312-macosx_12_0_arm64.whl
Algorithm Hash digest
SHA256 118c7bc68e6a4f4d74b8cb4a0b9d7fa8cb282d8b3c96d371b48d82fb8bcf6d7b
MD5 2aa4d166c5e6f02988d2589df1b4eb63
BLAKE2b-256 d71c3bd76f64f6659eb8c7ca45172b43a6d8b22e15bb5eaaf09104f0af2e09bf

See more details on using hashes here.

File details

Details for the file litert_converter-0.1.0.dev20260418-cp311-cp311-manylinux_2_27_x86_64.whl.

File metadata

File hashes

Hashes for litert_converter-0.1.0.dev20260418-cp311-cp311-manylinux_2_27_x86_64.whl
Algorithm Hash digest
SHA256 298735547a34fb770b503302cffb95be2e4aa4c95b6ec2d7af2b7cdfcbd2f3b9
MD5 3e7595898c461d037d31f24089476c08
BLAKE2b-256 ebe5f89b9c841ce3bf5b1f96b9b354844ac043d5c469ab2aaf9c387a66f34a82

See more details on using hashes here.

File details

Details for the file litert_converter-0.1.0.dev20260418-cp311-cp311-macosx_12_0_arm64.whl.

File metadata

File hashes

Hashes for litert_converter-0.1.0.dev20260418-cp311-cp311-macosx_12_0_arm64.whl
Algorithm Hash digest
SHA256 e32cac6e5591e466b99cedb25c1d9657d50531a6e222ccf0a3ba45fe9a956382
MD5 0d5424f197d736932daa66b830fa7aef
BLAKE2b-256 7bf6bc258c6bdccc96e6d70a02902d88d3b9ddc1981455757960dde007761eb1

See more details on using hashes here.

File details

Details for the file litert_converter-0.1.0.dev20260418-cp310-cp310-manylinux_2_27_x86_64.whl.

File metadata

File hashes

Hashes for litert_converter-0.1.0.dev20260418-cp310-cp310-manylinux_2_27_x86_64.whl
Algorithm Hash digest
SHA256 0b14a1558718d5272ebbe32b790d67de3a9021084d952b1ef33ba7e1d4f908d8
MD5 9337165a8e2fa6f8e8da14fce8abaabc
BLAKE2b-256 37e1532c6c0a51914644026affab4d8f44fff76f35d0330dfec70b22abebe647

See more details on using hashes here.

File details

Details for the file litert_converter-0.1.0.dev20260418-cp310-cp310-macosx_12_0_arm64.whl.

File metadata

File hashes

Hashes for litert_converter-0.1.0.dev20260418-cp310-cp310-macosx_12_0_arm64.whl
Algorithm Hash digest
SHA256 72a82f44da4432ffa4e5d720392b9d75bbc7d3c37b4dcd43a175d97fa53d1e15
MD5 2a07ee3b758c8659524a1f4ad0718afc
BLAKE2b-256 9f1ad8c174358f9d86b4c9ba16658e27fdb37ca247db2033574126a0d84d4220

See more details on using hashes here.

Supported by

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