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:
# Available backend options are: "jax", "torch", "tensorflow". import os os.environ["KERAS_BACKEND"] = "jax" import keras model = keras.saving.load_model("hf://pollen-robotics/wake-word-detector") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- a7b18b47d733e3ccfaeeac6b545eb87ead4b38f1873873c9d9b9b2278a2fcd59
- Size of remote file:
- 1.33 MB
- SHA256:
- c0aea21eb84a4ce90a08c870da41b7a7173b45269e6a3207c71d67c40f3a59d8
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.