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  1. TensorFlow Lite Micro with ML acceleration

    Feb 2, 2023 · With TensorFlow Lite (TFLite), you can now run sophisticated models that perform pose estimation and object segmentation, but these models still require a relatively powerful …

  2. Module: tf.lite | TensorFlow v2.16.1

    class OpsSet: Enum class defining the sets of ops available to generate TFLite models. class Optimize: Enum defining the optimizations to apply when generating a tflite model.

  3. TensorFlow.js TFLite API

    Models This library is a wrapper of TFLite interpreter. It is packaged in a WebAssembly binary that runs in a browser. For more details and related concepts about TFLite Interpreter and what the …

  4. Post-training quantization | TensorFlow Model Optimization

    Aug 3, 2022 · import tensorflow as tf converter = tf.lite.TFLiteConverter.from_saved_model(saved_model_dir) converter.optimizations = …

  5. Converting TensorFlow Text operators to TensorFlow Lite

    Jul 19, 2024 · Note, that while the example below shows inference in Python, the steps are similar in other languages with some minor API translations, and the necessity to build the …

  6. What's new in TensorFlow 2.19 — The TensorFlow Blog

    Mar 13, 2025 · Highlights of this release include changes to the C++ API in LiteRT, bfloat16 support for tflite casting, discontinue of releasing libtensorflow packages. Learn more by …

  7. Easier object detection on mobile with TensorFlow Lite

    Jun 16, 2021 · TensorFlow Lite Metadata Writer API: simplify metadata creation to generate custom object detection models compatible with TFLite Task Library. Despite being a very …

  8. TensorFlow Lite

    1. Générer un modèle TensorFlow Lite Un modèle TensorFlow Lite est représenté dans un format portable efficace spécial, appelé FlatBuffers (identifié par l'extension de fichier .tflite).

  9. Migrating your TFLite code to TF2 - TensorFlow Core

    Mar 23, 2024 · The TFLite converter is one such tool that converts existing TF models into an optimized TFLite model format that can be efficiently run on-device. In this doc, you'll learn …

  10. TFX for Mobile - TensorFlow

    Feb 11, 2022 · TFX now provides native support for TFLite, which makes it possible to perform highly efficient inference on mobile devices. This guide walks you through the changes that …