Skip to main content
Pre-release

This release is a pre-release and may not be stable for production use.

TFLite Model Maker

Overview

The TFLite Model Maker library simplifies the process of adapting and converting a TensorFlow neural-network model to particular input data when deploying this model for on-device ML applications.

Requirements

  • Refer to requirements.txt for dependent libraries that're needed to use the library and run the demo code.

Installation

There are two ways to install Model Maker.

pip install tflite-model-maker

If you want to install nightly version tflite-model-maker-nightly, please follow the command:

pip install tflite-model-maker-nightly
  • Clone the source code from GitHub and install.
git clone https://github.com/tensorflow/examples
cd examples/tensorflow_examples/lite/model_maker/pip_package
pip install -e .

End-to-End Example

For instance, it could have an end-to-end image classification example that utilizes this library with just 4 lines of code, each of which representing one step of the overall process. For more detail, you could refer to Colab for image classification.

  1. Load input data specific to an on-device ML app.
data = ImageClassifierDataLoader.from_folder('flower_photos/')
  1. Customize the TensorFlow model.
model = image_classifier.create(data)
  1. Evaluate the model.
loss, accuracy = model.evaluate()
  1. Export to Tensorflow Lite model and label file in export_dir.
model.export(export_dir='/tmp/')

Notebook

Currently, we support image classification, text classification and question answer tasks. Meanwhile, we provide demo code for each of them in demo folder.

Release files for tflite-model-maker-nightly 0.2.4.dev202011232221

For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.

Source distribution (sdist)

Source distribution for tflite-model-maker-nightly 0.2.4.dev202011232221
File Size Uploaded
tflite-model-maker-nightly-0.2.4.dev202011232221.tar.gz 97.1 kB Details

Built distribution (wheel)

Table of built distributions (wheels) for tflite-model-maker-nightly 0.2.4.dev202011232221
File Interpreter ABI Platform
tflite_model_maker_nightly-0.2.4.dev202011232221-py3-none-any.whl Python 3 none any Details

Total release size: 269.5 kB

Release files / tflite-model-maker-nightly-0.2.4.dev202011232221.tar.gz

Download URL tflite-model-maker-nightly-0.2.4.dev202011232221.tar.gz
Size 97.1 kB
Tags Source
SHA-256 checksum
How to use checksums
239fdc8a0e9f04c3d1192330104a0a9b585f447c6263aebbd74328af70dc5200
BLAKE2b-256 checksum
How to use checksums
2a5c855484b0d19396b288834917990721314a01e7a80d21b39977e4843be2a1
Upload date
Uploaded using Trusted Publishing?
What is trusted publishing?
No
Uploaded via twine/3.2.0 pkginfo/1.6.1 requests/2.25.0 setuptools/50.3.2 requests-toolbelt/0.9.1 tqdm/4.53.0 CPython/3.7.9

Release files / tflite_model_maker_nightly-0.2.4.dev202011232221-py3-none-any.whl

Download URL tflite_model_maker_nightly-0.2.4.dev202011232221-py3-none-any.whl
Size 172.5 kB
Tags Python 3
SHA-256 checksum
How to use checksums
f8e1f116a81d8371424c42fb959bae27ac016d039c27d0dde0d19ef0f1617d19
BLAKE2b-256 checksum
How to use checksums
4c838bf03854762840c146cc42e3611c09a2c46620fbe5fa04e24d7efca0df2f
Upload date
Uploaded using Trusted Publishing?
What is trusted publishing?
No
Uploaded via twine/3.2.0 pkginfo/1.6.1 requests/2.25.0 setuptools/50.3.2 requests-toolbelt/0.9.1 tqdm/4.53.0 CPython/3.7.9

Release history Release notifications | RSS feed

This release
Anthropic, PBC Visionary sponsor Bloomberg Visionary sponsor Hudson River Trading Visionary sponsor Meta Visionary sponsor NVIDIA Visionary sponsor Microsoft Sustainability sponsor Depot Continuous Integration AWS Cloud computing and Security Sponsor Datadog Monitoring Fastly CDN Google Download Analytics Sentry Error logging StatusPage Status page