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TensorFlow Lite 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.
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3 maintainers
Release files for tflite-runtime-nightly 2.17.0.dev20240526
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Built distributions (wheels)
Total release size: 22.0 MB
Release files / tflite_runtime_nightly-2.17.0.dev20240526-cp311-cp311-manylinux_2_34_armv7l.whl
| Download URL | tflite_runtime_nightly-2.17.0.dev20240526-cp311-cp311-manylinux_2_34_armv7l.whl |
|---|---|
| Size | 1.9 MB |
| Tags | CPython 3.11 Linux glibc 2.34+ ARMv7l |
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No |
| Uploaded via |
twine/4.0.2 CPython/3.8.10
|
Release files / tflite_runtime_nightly-2.17.0.dev20240526-cp311-cp311-manylinux_2_34_aarch64.whl
| Download URL | tflite_runtime_nightly-2.17.0.dev20240526-cp311-cp311-manylinux_2_34_aarch64.whl |
|---|---|
| Size | 2.6 MB |
| Tags | CPython 3.11 Linux glibc 2.34+ ARM64 |
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No |
| Uploaded via |
twine/4.0.2 CPython/3.8.10
|
Release files / tflite_runtime_nightly-2.17.0.dev20240526-cp311-cp311-manylinux2014_x86_64.whl
| Download URL | tflite_runtime_nightly-2.17.0.dev20240526-cp311-cp311-manylinux2014_x86_64.whl |
|---|---|
| Size | 2.8 MB |
| Tags | CPython 3.11 Linux glibc 2.17+ x86-64 |
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SHA-256 checksum How to use checksums |
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No |
| Uploaded via |
twine/4.0.2 CPython/3.8.10
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Release files / tflite_runtime_nightly-2.17.0.dev20240526-cp310-cp310-manylinux_2_34_armv7l.whl
| Download URL | tflite_runtime_nightly-2.17.0.dev20240526-cp310-cp310-manylinux_2_34_armv7l.whl |
|---|---|
| Size | 1.9 MB |
| Tags | CPython 3.10 Linux glibc 2.34+ ARMv7l |
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SHA-256 checksum How to use checksums |
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Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
twine/4.0.2 CPython/3.8.10
|
Release files / tflite_runtime_nightly-2.17.0.dev20240526-cp310-cp310-manylinux_2_34_aarch64.whl
| Download URL | tflite_runtime_nightly-2.17.0.dev20240526-cp310-cp310-manylinux_2_34_aarch64.whl |
|---|---|
| Size | 2.6 MB |
| Tags | CPython 3.10 Linux glibc 2.34+ ARM64 |
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Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
twine/4.0.2 CPython/3.8.10
|
Release files / tflite_runtime_nightly-2.17.0.dev20240526-cp310-cp310-manylinux2014_x86_64.whl
| Download URL | tflite_runtime_nightly-2.17.0.dev20240526-cp310-cp310-manylinux2014_x86_64.whl |
|---|---|
| Size | 2.8 MB |
| Tags | CPython 3.10 Linux glibc 2.17+ x86-64 |
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SHA-256 checksum How to use checksums |
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Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
twine/4.0.2 CPython/3.8.10
|
Release files / tflite_runtime_nightly-2.17.0.dev20240526-cp39-cp39-manylinux_2_34_armv7l.whl
| Download URL | tflite_runtime_nightly-2.17.0.dev20240526-cp39-cp39-manylinux_2_34_armv7l.whl |
|---|---|
| Size | 1.9 MB |
| Tags | CPython 3.9 Linux glibc 2.34+ ARMv7l |
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SHA-256 checksum How to use checksums |
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Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
twine/4.0.2 CPython/3.8.10
|
Release files / tflite_runtime_nightly-2.17.0.dev20240526-cp39-cp39-manylinux_2_34_aarch64.whl
| Download URL | tflite_runtime_nightly-2.17.0.dev20240526-cp39-cp39-manylinux_2_34_aarch64.whl |
|---|---|
| Size | 2.6 MB |
| Tags | CPython 3.9 Linux glibc 2.34+ ARM64 |
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SHA-256 checksum How to use checksums |
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Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
twine/4.0.2 CPython/3.8.10
|
Release files / tflite_runtime_nightly-2.17.0.dev20240526-cp39-cp39-manylinux2014_x86_64.whl
| Download URL | tflite_runtime_nightly-2.17.0.dev20240526-cp39-cp39-manylinux2014_x86_64.whl |
|---|---|
| Size | 2.8 MB |
| Tags | CPython 3.9 Linux glibc 2.17+ x86-64 |
|
SHA-256 checksum How to use checksums |
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| Upload date | |
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Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
twine/4.0.2 CPython/3.8.10
|
Security for tflite-runtime-nightly 2.17.0.dev20240526
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