New State-of-the-Art Quantized Models Added in TF Model Garden

New State-of-the-Art Quantized Models Added in TF Model Garden

New State-of-the-Art Quantized Models Added in TF Model Garden

“The TensorFlow Model Garden provides implementations of many state-of-the-art machine learning models for vision and natural language processing, and workflow tools to let you quickly configure and run those models on standard datasets. These models are implemented using modern best practices.

Previously, we have announced the quantization aware training (QAT) support for various on-device vision models using TensorFlow Model Optimization Toolkit (TFMOT). In this post, we introduce new SOTA models optimized using QAT in object detection, semantic segmentation, and natural language processing…”

Source: blog.tensorflow.org/2022/12/new-state-of-art-quantized-models-added-in-tf-model-garden.html