{"categories":[{"label":"Software Development","url":"https://skillfed.io/packages/category/software-development/4"},{"label":"Libraries","url":"https://skillfed.io/packages/category/software-development-libraries/3"},{"label":"Scientific/Engineering","url":"https://skillfed.io/packages/category/scientific-engineering/2"},{"label":"Python Modules","url":"https://skillfed.io/packages/category/software-development-libraries-python-modules/6"},{"label":"Artificial Intelligence","url":"https://skillfed.io/packages/category/scientific-engineering-artificial-intelligence/3"},{"label":"Mathematics","url":"https://skillfed.io/packages/category/scientific-engineering-mathematics"}],"enrichment":{"capability":"Downloads and loads pre-trained TensorFlow SavedModels from TensorFlow Hub (now redirected to Kaggle Models) for reuse in TensorFlow programs with minimal code.","skillfed_tags":["transfer-learning","model-reuse","tensorflow"],"use_cases":["Load a pre-trained image classifier and fine-tune it on your own dataset for transfer learning.","Retrieve a text embedding model to convert sentences into dense vectors for semantic search or clustering.","Integrate a pre-trained object detection model into a production inference pipeline without training from scratch.","Prototype a machine learning application by combining multiple reusable SavedModels from the hub.","Cache downloaded models locally to avoid repeated network requests during development and testing."],"what_it_does":"TensorFlow Hub is a library for discovering and loading pre-trained TensorFlow SavedModels\u2014reusable components like embeddings, classifiers, and feature extractors\u2014into your own TensorFlow programs. It abstracts away the download and caching logic, letting you load a model with a single function call and a URL. The library depends on numpy, protobuf, and tf-keras to handle the underlying tensor operations and model serialization.\n\nAs of November 2023, the tfhub.dev repository was migrated to Kaggle Models, and many older models were deleted by March 2024. The library continues to support loading models via tfhub.dev URLs (which redirect to Kaggle), but you should verify that the models you need are still available. The package is in Beta status and has not been actively maintained since early 2024, though it remains functional for its core use case of model loading and reuse.","worth_installing":"Yes, if you need to load pre-trained TensorFlow models and your target models are still available on Kaggle Models. The library is stable, has low install friction, and carries a permissive license. However, be aware that maintenance is dormant and many models from the original tfhub.dev have been deleted; verify your models exist before committing to this library in a new project."},"id":"tensorflow-hub","links":{"html":"https://skillfed.io/packages/tensorflow-hub","md":"https://skillfed.io/packages/tensorflow-hub.md","pypi":"https://pypi.org/project/tensorflow-hub/"},"maintenance":{"status":"dormant"},"meta":{"latest_release":"2024-01-30","license_spdx":null,"license_treatment":"permissive","name":"tensorflow-hub","python_support":"unspecified","summary":"TensorFlow Hub is a library to foster the publication, discovery, and consumption of reusable parts of machine learning models."},"popularity":{"monthly_downloads":2162619,"position":3241,"tier":"top_5000"},"security":{"n_vulnerabilities":0},"version":"0.16.1"}