tfhub
0.8.1Interface to 'TensorFlow' Hub
Overview
'TensorFlow' Hub is a library for the publication, discovery, and consumption of reusable parts of machine learning models. A module is a self-contained piece of a 'TensorFlow' graph, along with its weights and assets, that can be reused across different tasks in a process known as transfer learning. Transfer learning train a model with a smaller dataset, improve generalization, and speed up training.
Install
Health
- OK2026-06-0813 OK · 0 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE
- ERROR2026-06-0712 OK · 0 NOTE · 0 WARNING · 1 ERROR · 0 FAILURE
- OK2026-03-1014 OK · 0 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE
Documentation
- Examples that run
- 0%
- Documented parameters
- 100%
- Return-value docs
- 0%
- References docs
- 0%
Downloads
Repository
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Repository practices
4 development-tooling and community-health practices detected across 3 families in the upstream repository
Checks run against github.com/rstudio/tfhub on 2026-07-19.
Dependencies
Code & Tests
People & History
3 releases. Pick two to compare their code metrics. R releases are shown for context.
- RR 4.6.0 released · 2026-04-24
- RR 4.5.0 released · 2025-04-11
- RR 4.4.0 released · 2024-04-24
- RR 4.3.0 released · 2023-04-21
- RR 4.2.0 released · 2022-04-22
- 0.8.1Latest
- RR 4.1.0 released · 2021-05-18
- 0.8.02020-05-22 · diff ↗
- RR 4.0.0 released · 2020-04-24
- 0.7.02019-12-18
- RR 3.6.0 released · 2019-04-26
Package metadata
- First published
- 2019-12-18
- Total releases
- 3 / 7 yrs
- License
- Apache License 2.0 OSI
- Download size
- 666 KB
- Installed size
- not tracked yet
- With dependencies
- not tracked yet