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TensorFlow Hub is a repository of trained machine learning models ready for fine-tuning and deployable anywhere. Reuse trained models like BERT and Faster R-CNN with just a few lines of code.
Oct 7, 2023 · TensorFlow Hub is an open repository and library for reusable machine learning. The tfhub.dev repository provides many pre-trained models: text embeddings, image classification models, TF.js/TFLite models and much more.
Apr 15, 2024 · The tensorflow_hub library can be installed alongside TensorFlow 1 and TensorFlow 2. We recommend that new users start with TensorFlow 2 right away, and current users upgrade to it. Use with TensorFlow 2. Use pip to install TensorFlow 2 as usual. (See there for extra instructions about GPU support.)
This GitHub repository hosts the tensorflow_hub Python library to download and reuse SavedModels in your TensorFlow program with a minimum amount of code, as well as other associated code and documentation.
Mar 30, 2018 · TensorFlow Hub is a platform to publish, discover, and reuse parts of machine learning modules in TensorFlow. By a module, we mean a self-contained piece of a TensorFlow graph, along with its weights, that can be reused across other, similar tasks.
Dec 19, 2019 · We’ve revamped our user experience to improve site usability and make this wide array of assets easier to find, search and filter. TensorFlow Hub is now powered by the community -- we have models from a number of new publishers, including NVIDIA, Microsoft AI for Earth, and iNaturalist.
Jul 7, 2021 · TensorFlow Hub is an open repository of pre-trained machine learning models ready for fine-tuning and deployable anywhere, from servers to mobile devices, microcontrollers and browsers.
