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-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-cp313-cp313-macosx_12_0_arm64.whl (99.1 MB view details)

Uploaded CPython 3.13macOS 12.0+ ARM64

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

Uploaded CPython 3.12macOS 12.0+ ARM64

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

Uploaded CPython 3.11macOS 12.0+ ARM64

litert_converter-0.1.0-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-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-cp313-cp313-manylinux_2_27_x86_64.whl.

File metadata

File hashes

Hashes for litert_converter-0.1.0-cp313-cp313-manylinux_2_27_x86_64.whl
Algorithm Hash digest
SHA256 eac570e4acecf700e4b9b63ed4c3776e7b31f518c839cb1ddfa5cb897562953c
MD5 91d310ba92d53ad9350d59dcec13ee9a
BLAKE2b-256 fe370feaf9c39a785406c027be2651dd47d452890415170545f9969de52a02a5

See more details on using hashes here.

File details

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

File metadata

File hashes

Hashes for litert_converter-0.1.0-cp313-cp313-macosx_12_0_arm64.whl
Algorithm Hash digest
SHA256 a30eba031397bfa8ee549921933baff58356e59ef89d68353f9d9d1a7570b5aa
MD5 a46da64bd81f4f38fd1f1d9b1956efd9
BLAKE2b-256 c2cde113db113329716d3a8f6fb8bb6b882c5d04267a8549c18a0b086e82490d

See more details on using hashes here.

File details

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

File metadata

File hashes

Hashes for litert_converter-0.1.0-cp312-cp312-manylinux_2_27_x86_64.whl
Algorithm Hash digest
SHA256 2fa50727853d7f61decd4fbc55553ce1a00732522ea9f0b85d79839d25e004e4
MD5 1dfb1c966c7d2d7e80e2113f809a58e1
BLAKE2b-256 304bd34039443eec2f50b87b31938184d33cc97cf36315a98ae0368aa9a26534

See more details on using hashes here.

File details

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

File metadata

File hashes

Hashes for litert_converter-0.1.0-cp312-cp312-macosx_12_0_arm64.whl
Algorithm Hash digest
SHA256 16f0de1f00382ad4260e04809fd8bc4e91d1888941b91c4a9f83e3afeb9928ba
MD5 bcca2faa422dbe3aa7cc5f2278025a3a
BLAKE2b-256 fd6b7cf86138851af4cdec456996a7c3beb19b52c0ad9ac196060bd982086d04

See more details on using hashes here.

File details

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

File metadata

File hashes

Hashes for litert_converter-0.1.0-cp311-cp311-manylinux_2_27_x86_64.whl
Algorithm Hash digest
SHA256 011434185de374d24a8e6374cc04e6ababf79f6268ff9b9021bbc924a7b8be4e
MD5 3d33644c30a5a9128913837bb3682832
BLAKE2b-256 edb82de0c9a3c4a4e641b480a601442553f80f40572bded6685b290a12a9138e

See more details on using hashes here.

File details

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

File metadata

File hashes

Hashes for litert_converter-0.1.0-cp311-cp311-macosx_12_0_arm64.whl
Algorithm Hash digest
SHA256 8d55567f4254adaf0775bac1b1acbb7fb8fe4d13e379099d9bc0c85706d1b040
MD5 776ddacd8ae38d24952084d22600ed68
BLAKE2b-256 abbce5f48dd3478dafb0dc305df58e7a1e3900c9a2c77939b397bd0d872fe92b

See more details on using hashes here.

File details

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

File metadata

File hashes

Hashes for litert_converter-0.1.0-cp310-cp310-manylinux_2_27_x86_64.whl
Algorithm Hash digest
SHA256 c4753013bfaeeeacf79c5fcf8110989777ecf190427bcc9c012167a8f139af23
MD5 ae6e3dd53ac905d0e60ae7928f0dfc3b
BLAKE2b-256 b73af3ae5e2fb1bd53e0f315fef326d9dab791ea7140a7b9b977001c5dac1c9f

See more details on using hashes here.

File details

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

File metadata

File hashes

Hashes for litert_converter-0.1.0-cp310-cp310-macosx_12_0_arm64.whl
Algorithm Hash digest
SHA256 d8814c7808709fa3ff7f4712b4e268ee7e0294cbe96baa9bf9b00366ddb4d785
MD5 07246f13f6b8b6a04d30186bedc44276
BLAKE2b-256 534e81c8a4fa990f160bd8399c4d95af269109512678b8681ef063491dd0a6c8

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