tflite-support
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TFLite Support is a toolkit that helps users to develop ML and deploy TFLite models onto mobile / ioT devices.
Hi! Is the [tflite_runtime](https://pypi.org/project/tflite-runtime/) package required to run TF-Lite with Coral, or should we use `tf.lite`, as part of the `tensorflow` Python library? Thank you! Related: Are there any examples...
I am getting the following error while loading the input and output audio buffers to tensorflow-lite interpreter for inferencing. I am using the TensorAudio and TensorAudioFormat packages from the tflite-support.audio...
I see code in wav_io.cc. That has read wav code.

I have model searcher tflite so i want deploy to IOS
**Subject:** Issue with Custom YOLOV5 TFLite Model Integration in Android App **Description:** Hi, I'm encountering an issue while attempting to integrate a custom YOLOV5 PyTorch model in my Android application...
implementation 'org.tensorflow:tensorflow-lite-support:0.1.0' Why do I run this instruction to generate two dependent libraries, TensorFlow Lite and TensorFlow Lite Support? How can I generate only tensorflow site support as a dependency...
How to modify the quant_scale and zero_point of quantized tflite model? Seems we could only read these values for now.
Could you please provide a `manylinux2014_aarch64` wheel for python 3.11 on pypi?` I saw the x86 wheels there but these aren't of use to me.
I'm trying to classify text into one of 20 categories (20newsgroups dataset). I have a tflite model that I use to make inference. The inference is made with BertNLClassifier.classify() method....