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Update README.md with link to models from HA community [skip ci]

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@ -222,6 +222,8 @@ openWakeWord includes an automated utility that greatly simplifies the process o
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) (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.
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 users interested in understanding the fundamental concepts behind model training there is a more detailed, educational [tutorial notebook](notebooks/training_models.ipynb) also available. However, this specific notebook is not intended for training production models, and the automated process above is recommended for that purpose. For users interested in understanding the fundamental concepts behind model training there is a more detailed, educational [tutorial notebook](notebooks/training_models.ipynb) also available. However, this specific notebook is not intended for training production models, and the automated process above is recommended for that purpose.
Fundamentally, a new model requires two data generation and collection steps: Fundamentally, a new model requires two data generation and collection steps: