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
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1 maintainer
Release files for litert-converter 0.2.0.dev20260507
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Built distributions (wheels)
Total release size: 866.1 MB
Release files / litert_converter-0.2.0.dev20260507-cp313-cp313-manylinux_2_27_x86_64.whl
| Download URL | litert_converter-0.2.0.dev20260507-cp313-cp313-manylinux_2_27_x86_64.whl |
|---|---|
| Size | 116.7 MB |
| Tags | CPython 3.13 Linux glibc 2.27+ x86-64 |
|
SHA-256 checksum How to use checksums |
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| Upload date | |
|
Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
twine/6.1.0 CPython/3.8.10
|
Release files / litert_converter-0.2.0.dev20260507-cp313-cp313-macosx_12_0_arm64.whl
| Download URL | litert_converter-0.2.0.dev20260507-cp313-cp313-macosx_12_0_arm64.whl |
|---|---|
| Size | 99.8 MB |
| Tags | CPython 3.13 macOS 12.0+ ARM64 |
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SHA-256 checksum How to use checksums |
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| Upload date | |
|
Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
twine/6.2.0 CPython/3.10.20
|
Release files / litert_converter-0.2.0.dev20260507-cp312-cp312-manylinux_2_27_x86_64.whl
| Download URL | litert_converter-0.2.0.dev20260507-cp312-cp312-manylinux_2_27_x86_64.whl |
|---|---|
| Size | 116.7 MB |
| Tags | CPython 3.12 Linux glibc 2.27+ x86-64 |
|
SHA-256 checksum How to use checksums |
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BLAKE2b-256 checksum How to use checksums |
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| Upload date | |
|
Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
twine/6.1.0 CPython/3.8.10
|
Release files / litert_converter-0.2.0.dev20260507-cp312-cp312-macosx_12_0_arm64.whl
| Download URL | litert_converter-0.2.0.dev20260507-cp312-cp312-macosx_12_0_arm64.whl |
|---|---|
| Size | 99.8 MB |
| Tags | CPython 3.12 macOS 12.0+ ARM64 |
|
SHA-256 checksum How to use checksums |
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| Upload date | |
|
Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
twine/6.2.0 CPython/3.10.20
|
Release files / litert_converter-0.2.0.dev20260507-cp311-cp311-manylinux_2_27_x86_64.whl
| Download URL | litert_converter-0.2.0.dev20260507-cp311-cp311-manylinux_2_27_x86_64.whl |
|---|---|
| Size | 116.7 MB |
| Tags | CPython 3.11 Linux glibc 2.27+ x86-64 |
|
SHA-256 checksum How to use checksums |
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| Upload date | |
|
Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
twine/6.1.0 CPython/3.8.10
|
Release files / litert_converter-0.2.0.dev20260507-cp311-cp311-macosx_12_0_arm64.whl
| Download URL | litert_converter-0.2.0.dev20260507-cp311-cp311-macosx_12_0_arm64.whl |
|---|---|
| Size | 99.8 MB |
| Tags | CPython 3.11 macOS 12.0+ ARM64 |
|
SHA-256 checksum How to use checksums |
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| Upload date | |
|
Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
twine/6.2.0 CPython/3.10.20
|
Release files / litert_converter-0.2.0.dev20260507-cp310-cp310-manylinux_2_27_x86_64.whl
| Download URL | litert_converter-0.2.0.dev20260507-cp310-cp310-manylinux_2_27_x86_64.whl |
|---|---|
| Size | 116.7 MB |
| Tags | CPython 3.10 Linux glibc 2.27+ x86-64 |
|
SHA-256 checksum How to use checksums |
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BLAKE2b-256 checksum How to use checksums |
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| Upload date | |
|
Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
twine/6.1.0 CPython/3.8.10
|
Release files / litert_converter-0.2.0.dev20260507-cp310-cp310-macosx_12_0_arm64.whl
| Download URL | litert_converter-0.2.0.dev20260507-cp310-cp310-macosx_12_0_arm64.whl |
|---|---|
| Size | 99.8 MB |
| Tags | CPython 3.10 macOS 12.0+ ARM64 |
|
SHA-256 checksum How to use checksums |
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BLAKE2b-256 checksum How to use checksums |
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| Upload date | |
|
Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
twine/6.2.0 CPython/3.10.20
|
