tfhub
Interface to 'TensorFlow' Hub
'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.
Versions across snapshots
| Version | Repository | File | Size |
|---|---|---|---|
0.8.1 |
rolling linux/jammy R-4.5 | tfhub_0.8.1.tar.gz |
683.7 KiB |
0.8.1 |
rolling linux/noble R-4.5 | tfhub_0.8.1.tar.gz |
683.4 KiB |
0.8.1 |
rolling source/ R- | tfhub_0.8.1.tar.gz |
662.2 KiB |
0.8.1 |
latest linux/jammy R-4.5 | tfhub_0.8.1.tar.gz |
683.7 KiB |
0.8.1 |
latest linux/noble R-4.5 | tfhub_0.8.1.tar.gz |
683.4 KiB |
0.8.1 |
latest source/ R- | tfhub_0.8.1.tar.gz |
662.2 KiB |
0.8.1 |
2026-04-26 source/ R- | tfhub_0.8.1.tar.gz |
662.2 KiB |
0.8.1 |
2026-04-23 source/ R- | tfhub_0.8.1.tar.gz |
662.2 KiB |
0.8.1 |
2026-04-09 windows/windows R-4.5 | tfhub_0.8.1.zip |
690.0 KiB |
0.8.1 |
2025-04-20 source/ R- | tfhub_0.8.1.tar.gz |
662.2 KiB |
Dependencies (latest)
Imports
- reticulate (>= 1.9.0.9002)
- tensorflow (>= 1.8.0.9006)
- magrittr
- rstudioapi (>= 0.7)
- vctrs