TensorFlow Lite is for mobile and embedded devices.
Project description
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.
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
File details
Details for the file tflite_runtime_nightly-2.18.0.dev20240609-cp311-cp311-manylinux_2_34_armv7l.whl.
File metadata
- Download URL: tflite_runtime_nightly-2.18.0.dev20240609-cp311-cp311-manylinux_2_34_armv7l.whl
- Upload date:
- Size: 1.9 MB
- Tags: CPython 3.11, manylinux: glibc 2.34+ ARMv7l
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/4.0.2 CPython/3.8.10
File hashes
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 | 25e5c8204b13686bf36e0f53d4633710d544f41dec6f677d7ecec015a418d2f3 |
|
| MD5 | 34de470a60b8cea88985eecde79abfa2 |
|
| BLAKE2b-256 | 88d2aec4a49b212a7d63752c6bd94a42d79458a0bf0977326243282b574bec49 |
File details
Details for the file tflite_runtime_nightly-2.18.0.dev20240609-cp311-cp311-manylinux_2_34_aarch64.whl.
File metadata
- Download URL: tflite_runtime_nightly-2.18.0.dev20240609-cp311-cp311-manylinux_2_34_aarch64.whl
- Upload date:
- Size: 2.6 MB
- Tags: CPython 3.11, manylinux: glibc 2.34+ ARM64
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/4.0.2 CPython/3.8.10
File hashes
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 | 84fa73470f2b2fabe7044cf1fe630dd7d0d6e1086ab94834939521b1b76e063a |
|
| MD5 | b6583639608fc0c8f129d84523956b19 |
|
| BLAKE2b-256 | fa1a5cd6e4ac018e2b226a392fb96cbe99d419dc4b882acb86d1085bc894b2bb |
File details
Details for the file tflite_runtime_nightly-2.18.0.dev20240609-cp311-cp311-manylinux2014_x86_64.whl.
File metadata
- Download URL: tflite_runtime_nightly-2.18.0.dev20240609-cp311-cp311-manylinux2014_x86_64.whl
- Upload date:
- Size: 2.8 MB
- Tags: CPython 3.11
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/4.0.2 CPython/3.8.10
File hashes
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 | 9d54a2d8945a3e5ba70415fd1e198914612796d1b6dfa49965fdec18547d2f2a |
|
| MD5 | 93579abde3a4f2c8ce39f3350c3f9a79 |
|
| BLAKE2b-256 | ccb0151ef6ff06d65fcdf3a80089fa3aa3f6aa0b51f289c9d76836b99a670272 |
File details
Details for the file tflite_runtime_nightly-2.18.0.dev20240609-cp310-cp310-manylinux_2_34_armv7l.whl.
File metadata
- Download URL: tflite_runtime_nightly-2.18.0.dev20240609-cp310-cp310-manylinux_2_34_armv7l.whl
- Upload date:
- Size: 1.9 MB
- Tags: CPython 3.10, manylinux: glibc 2.34+ ARMv7l
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/4.0.2 CPython/3.8.10
File hashes
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 | e1a418af79efc4dd51ac09806418aa9dad2cc8a2e7f34c268a9a7d99bc575dc1 |
|
| MD5 | 940ddf7d4397c386bd03a8f58831ee8f |
|
| BLAKE2b-256 | b84c23d2ddabda55fd806e524ead0b55a2df59b3bb6cde4b021a7f1eb9b10530 |
File details
Details for the file tflite_runtime_nightly-2.18.0.dev20240609-cp310-cp310-manylinux_2_34_aarch64.whl.
File metadata
- Download URL: tflite_runtime_nightly-2.18.0.dev20240609-cp310-cp310-manylinux_2_34_aarch64.whl
- Upload date:
- Size: 2.6 MB
- Tags: CPython 3.10, manylinux: glibc 2.34+ ARM64
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/4.0.2 CPython/3.8.10
File hashes
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 | e9088a1dbc57350127989b947e43c468aed7f748bac29a15ea6191c838119bcc |
|
| MD5 | 7a8de1068a0713a0f79a80bde811ebab |
|
| BLAKE2b-256 | 541aa9b429b55bcc5d18cde3ce7d62a02e837706ace85e7dea473e0ee8ad49c1 |
File details
Details for the file tflite_runtime_nightly-2.18.0.dev20240609-cp310-cp310-manylinux2014_x86_64.whl.
File metadata
- Download URL: tflite_runtime_nightly-2.18.0.dev20240609-cp310-cp310-manylinux2014_x86_64.whl
- Upload date:
- Size: 2.8 MB
- Tags: CPython 3.10
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/4.0.2 CPython/3.8.10
File hashes
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 | 0f40654c487f2939623acb23c646afa7bf3df2bc961dab43a35c835fa7fe3d5d |
|
| MD5 | a9207c9c2f471ac5a07cd81108d7ae8e |
|
| BLAKE2b-256 | cb1516797e4e83b96fe1baf98b3b4ac69fd7181341feddbabea60fa0e9988dab |
File details
Details for the file tflite_runtime_nightly-2.18.0.dev20240609-cp39-cp39-manylinux_2_34_armv7l.whl.
File metadata
- Download URL: tflite_runtime_nightly-2.18.0.dev20240609-cp39-cp39-manylinux_2_34_armv7l.whl
- Upload date:
- Size: 1.9 MB
- Tags: CPython 3.9, manylinux: glibc 2.34+ ARMv7l
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/4.0.2 CPython/3.8.10
File hashes
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 | 038970cf427486fee2541af17c6b91cd0ef4485ec1dd87fe224551c2390f0a0f |
|
| MD5 | 4034c9eea9dc0c0708d01906972c468e |
|
| BLAKE2b-256 | 841d4d69d3e6aaebf8dccf8a0f19433af50934349ee70f9d2a6205dc8bdb9cae |
File details
Details for the file tflite_runtime_nightly-2.18.0.dev20240609-cp39-cp39-manylinux_2_34_aarch64.whl.
File metadata
- Download URL: tflite_runtime_nightly-2.18.0.dev20240609-cp39-cp39-manylinux_2_34_aarch64.whl
- Upload date:
- Size: 2.6 MB
- Tags: CPython 3.9, manylinux: glibc 2.34+ ARM64
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/4.0.2 CPython/3.8.10
File hashes
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 | bfc6694824943d1e40a84668b688bf62c3288887fe149d96cfedfdde20bf1830 |
|
| MD5 | 07b02b8386ce00d187433184d14d2f3b |
|
| BLAKE2b-256 | a51f61026387e66e55fd2b84122180addeb2e463854ab15c1cf1eb373183f437 |
File details
Details for the file tflite_runtime_nightly-2.18.0.dev20240609-cp39-cp39-manylinux2014_x86_64.whl.
File metadata
- Download URL: tflite_runtime_nightly-2.18.0.dev20240609-cp39-cp39-manylinux2014_x86_64.whl
- Upload date:
- Size: 2.8 MB
- Tags: CPython 3.9
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/4.0.2 CPython/3.8.10
File hashes
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 | 482aa8d87399acc0a80b86df853f0ff2f0e8480dc14e4e3fa1fce5b19b8a1b81 |
|
| MD5 | e5e59ef3b878f2d12b09679ecd613b73 |
|
| BLAKE2b-256 | 1b5ad48fe81946bd4ddc88f0df9abadac3aba49cf146fc07d57feede95f10b8c |
