Pre-release
This release is a pre-release and may not be stable for production use.
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.
1 maintainer
Metadata
1 maintainer
Release files for litert-converter 0.5.0.dev20261005
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Built distributions (wheels)
| File | Reset | |||
|---|---|---|---|---|
| litert_converter-0.5.0.dev20261005-cp314-cp314-macosx_12_0_arm64.whl | CPython 3.14 | CPython 3.14 | macOS 12.0+ ARM64 | Details |
| litert_converter-0.5.0.dev20261005-cp313-cp313-macosx_12_0_arm64.whl | CPython 3.13 | CPython 3.13 | macOS 12.0+ ARM64 | Details |
| litert_converter-0.5.0.dev20261005-cp312-cp312-macosx_12_0_arm64.whl | CPython 3.12 | CPython 3.12 | macOS 12.0+ ARM64 | Details |
| litert_converter-0.5.0.dev20261005-cp311-cp311-macosx_12_0_arm64.whl | CPython 3.11 | CPython 3.11 | macOS 12.0+ ARM64 | Details |
| litert_converter-0.5.0.dev20261005-cp310-cp310-macosx_12_0_arm64.whl | CPython 3.10 | CPython 3.10 | macOS 12.0+ ARM64 | Details |
Total release size: 315.2 MB
Release files / litert_converter-0.5.0.dev20261005-cp314-cp314-macosx_12_0_arm64.whl
| Download URL | litert_converter-0.5.0.dev20261005-cp314-cp314-macosx_12_0_arm64.whl |
|---|---|
| Size | 63.0 MB |
| Tags | CPython 3.14 macOS 12.0+ ARM64 |
|
SHA-256 checksum How to use checksums |
20c2de0c2ce10cd5f336c634ef953d463b07cd827895fd97e94530ce2fc7b2a0
|
|
BLAKE2b-256 checksum How to use checksums |
bd5929d256a2ad36f3a4f78e9fa0809b52958bec1771dd6921682def181428a7
|
| Upload date | |
|
Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
twine/7.0.0 CPython/3.10.22
|
Release files / litert_converter-0.5.0.dev20261005-cp313-cp313-macosx_12_0_arm64.whl
| Download URL | litert_converter-0.5.0.dev20261005-cp313-cp313-macosx_12_0_arm64.whl |
|---|---|
| Size | 63.0 MB |
| Tags | CPython 3.13 macOS 12.0+ ARM64 |
|
SHA-256 checksum How to use checksums |
0d67ec0a6095deb2d892b9b831dbe19ed0d9a56b92746b1a541574b2a349ffe2
|
|
BLAKE2b-256 checksum How to use checksums |
fef410cadbf96d1f7266200f2fc77be13d834a5f26c77672b3ae86809cca0068
|
| Upload date | |
|
Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
twine/7.0.0 CPython/3.10.22
|
Release files / litert_converter-0.5.0.dev20261005-cp312-cp312-macosx_12_0_arm64.whl
| Download URL | litert_converter-0.5.0.dev20261005-cp312-cp312-macosx_12_0_arm64.whl |
|---|---|
| Size | 63.0 MB |
| Tags | CPython 3.12 macOS 12.0+ ARM64 |
|
SHA-256 checksum How to use checksums |
7f9181e6c952f5e9515ae472723e7d1a2ce74daece8216d660ddd75b9e3d31e0
|
|
BLAKE2b-256 checksum How to use checksums |
d3989e02ee116f779c3169dbbe4ac9731314c0d79a8a3d0723da111634a3e4c8
|
| Upload date | |
|
Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
twine/7.0.0 CPython/3.10.22
|
Release files / litert_converter-0.5.0.dev20261005-cp311-cp311-macosx_12_0_arm64.whl
| Download URL | litert_converter-0.5.0.dev20261005-cp311-cp311-macosx_12_0_arm64.whl |
|---|---|
| Size | 63.0 MB |
| Tags | CPython 3.11 macOS 12.0+ ARM64 |
|
SHA-256 checksum How to use checksums |
d8aa22237f79e3a33d35a4f762faa228d876f195abe0367c1d3301d7efa2ee33
|
|
BLAKE2b-256 checksum How to use checksums |
ede69132a60daed0f427680b67cf4cd62b2c83249d9a7155dd8d818b7532d662
|
| Upload date | |
|
Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
twine/7.0.0 CPython/3.10.22
|
Release files / litert_converter-0.5.0.dev20261005-cp310-cp310-macosx_12_0_arm64.whl
| Download URL | litert_converter-0.5.0.dev20261005-cp310-cp310-macosx_12_0_arm64.whl |
|---|---|
| Size | 63.0 MB |
| Tags | CPython 3.10 macOS 12.0+ ARM64 |
|
SHA-256 checksum How to use checksums |
e4c5909339ed08a0ad1892a559f8eb85c7dd30adc255a90ada895c221851d4cf
|
|
BLAKE2b-256 checksum How to use checksums |
6bc564a9db07d68ac6ae082bdbe431c0bfa5ad6cad6390eed2de3d69d6d6fc4d
|
| Upload date | |
|
Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
twine/7.0.0 CPython/3.10.22
|
