From 97a48a211dd1bd89bd96877ea9ca6f7f756352e9 Mon Sep 17 00:00:00 2001 From: dscripka Date: Tue, 2 Sep 2025 20:22:42 -0400 Subject: [PATCH] Remove outdated colab link. --- README.md | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/README.md b/README.md index ba652a1..2f393c2 100644 --- a/README.md +++ b/README.md @@ -223,7 +223,7 @@ openWakeWord includes an automated utility that greatly simplifies the process o 1) A simple [Google Colab](https://colab.research.google.com/drive/1q1oe2zOyZp7UsB3jJiQ1IFn8z5YfjwEb?usp=sharing) notebook with an easy to use interface and simple end-to-end process. This allows anyone to produce a custom model very quickly (<1 hour) and doesn't require any development experience, but the performance of the model may be low in some deployment scenarios. -2) A more detailed [notebook](notebooks/automatic_model_training.ipynb) (also on [Google Colab](https://colab.research.google.com/drive/1yyFH-fpguX2BTAW8wSQxTrJnJTM-0QAd?usp=sharing)) that describes the training process in more details, and enables more customization. This can produce high quality models, but requires more development experience. +2) A more detailed [notebook](notebooks/automatic_model_training.ipynb) that describes the training process in more details, and enables more customization. This can produce high quality models, but requires more development experience. For a collection of models trained using the notebooks above by the Home Assistant Community (and with much gratitude to @fwartner), see the excellent repository [here](https://github.com/fwartner/home-assistant-wakewords-collection).