From 5423ca1dd5fc3affff61f104004ebd3f424784d2 Mon Sep 17 00:00:00 2001 From: Jorge P Date: Wed, 7 May 2025 13:26:28 -0600 Subject: [PATCH] tfhub.dev --> kaggle.com/models in overview.md As the home page of TF Hub docs, it would be ideal to point to the correct model catalog at this point, IMO. --- site/en/hub/overview.md | 10 +++++----- 1 file changed, 5 insertions(+), 5 deletions(-) diff --git a/site/en/hub/overview.md b/site/en/hub/overview.md index b6d814eba73..7e51c392ddf 100644 --- a/site/en/hub/overview.md +++ b/site/en/hub/overview.md @@ -2,10 +2,10 @@ # TensorFlow Hub TensorFlow Hub is an open repository and library for reusable machine learning. -The [tfhub.dev](https://tfhub.dev) repository provides many pre-trained models: +[Kaggle Models](https://www.kaggle.com/models) provides many pre-trained models: text embeddings, image classification models, TF.js/TFLite models and much more. The repository is open to -[community contributors](https://tfhub.dev/s?subtype=publisher). +[community contributors](https://www.kaggle.com/models?owner-type=user). The [`tensorflow_hub`](https://github.com/tensorflow/hub) library lets you download and reuse them in your TensorFlow program with a minimum amount of @@ -14,7 +14,7 @@ code. ```python import tensorflow_hub as hub -model = hub.KerasLayer("https://tfhub.dev/google/nnlm-en-dim128/2") +model = hub.KerasLayer("https://www.kaggle.com/models/google/nnlm/TensorFlow2/en-dim128/2") embeddings = model(["The rain in Spain.", "falls", "mainly", "In the plain!"]) @@ -23,8 +23,8 @@ print(embeddings.shape) #(4,128) ## Next Steps -- [Find models on tfhub.dev](https://tfhub.dev) -- [Publish models on tfhub.dev](publish.md) +- [Find models on kaggle.com](https://www.kaggle.com/models) +- [Publish models on kaggle.com](publish.md) - TensorFlow Hub library - [Install TensorFlow Hub](installation.md) - [Library overview](lib_overview.md)