mirror of
https://github.com/dscripka/openWakeWord.git
synced 2026-08-27 18:17:20 -04:00
Remove outdated colab link.
This commit is contained in:
parent
7607f95985
commit
97a48a211d
1 changed files with 1 additions and 1 deletions
|
|
@ -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.
|
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).
|
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).
|
||||||
|
|
||||||
|
|
|
||||||
Loading…
Add table
Add a link
Reference in a new issue