Instructions to use pollen-robotics/wake-word-detector with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Keras
How to use pollen-robotics/wake-word-detector with Keras:
# !pip install -U keras tensorflow huggingface_hub # Keras needs TensorFlow installed to read "hf://" paths, so the tensorflow backend is selected here; # "jax" and "torch" also work for computation once TensorFlow is installed. import os os.environ["KERAS_BACKEND"] = "tensorflow" import keras model = keras.saving.load_model("hf://pollen-robotics/wake-word-detector") - Notebooks
- Google Colab
- Kaggle
Download melspectrogram.tflite from pollen-robotics/wake-word-detector: direct link, hf CLI and curl.
- Browser
- Download file 1.09 MB
-
https://huggingface.co/pollen-robotics/wake-word-detector/resolve/main/melspectrogram.tflite
- Command line
-
hf download hf://pollen-robotics/wake-word-detector/melspectrogram.tflite
-
curl -L -o melspectrogram.tflite https://huggingface.co/pollen-robotics/wake-word-detector/resolve/main/melspectrogram.tflite
1.09 MB
- Xet hash:
- 2fbbfaab19dfe2a2f19dabf32c1420e4fc498d7576ae5df4d24b0092d115807c
- Size of remote file:
- 1.09 MB
- SHA256:
- 96fa0adccb6e8cf95cb14465409a1a2898ee4a96a85bb9ed3c7eb0e68bf163e8
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