Instructions to use sw882882/wake-word-direction with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Keras
How to use sw882882/wake-word-direction with Keras:
# Available backend options are: "jax", "torch", "tensorflow". import os os.environ["KERAS_BACKEND"] = "jax" import keras model = keras.saving.load_model("hf://sw882882/wake-word-direction") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 64d6d26fd4de521721b4125cbf0e897d323bbd69e278da67922a975f890caaf3
- Size of remote file:
- 133 MB
- SHA256:
- 875d65e47794c599b7ca36af4412ad8f8608abd00c83309baf0c4f537654342e
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.