Instructions to use Austin207/voice-fan-controller-model with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Keras
How to use Austin207/voice-fan-controller-model with Keras:
# Available backend options are: "jax", "torch", "tensorflow". import os os.environ["KERAS_BACKEND"] = "jax" import keras model = keras.saving.load_model("hf://Austin207/voice-fan-controller-model") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- e3f1b2e433fcb3024aa2dd52c482cc24cfbfbd1601cb303c6d7d5b510e5b8fdf
- Size of remote file:
- 123 kB
- SHA256:
- 1d8110599848c6bec5d15f1a09ac70f098827de9d3d3690848ca4cc74179c75a
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.