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.
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 …
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 = …
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 …
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 …
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 …
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 …
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).
MoveNet: Ultra fast and accurate pose detection model.
Mar 9, 2024 · model_name = "movenet_lightning" if "tflite" in model_name: if "movenet_lightning_f16" in model_name: !wget -q -O model.tflite https://tfhub.dev/google/lite …
Quantization aware training | TensorFlow Model Optimization
Feb 3, 2024 · For instance, TFLite conversion and kernel implementations only support 8-bit quantization. APIs specific to this configuration are experimental and not subject to backward …