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:
# !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://Austin207/voice-fan-controller-model") - Notebooks
- Google Colab
- Kaggle
Download func_mlp_m/func_mlp_float.keras from Austin207/voice-fan-controller-model: direct link, hf CLI and curl.
- Browser
- Download file 123 kB
-
https://huggingface.co/Austin207/voice-fan-controller-model/resolve/main/func_mlp_m/func_mlp_float.keras
- Command line
-
hf download hf://Austin207/voice-fan-controller-model/func_mlp_m/func_mlp_float.keras
-
curl -L -o func_mlp_float.keras https://huggingface.co/Austin207/voice-fan-controller-model/resolve/main/func_mlp_m/func_mlp_float.keras
123 kB
- Xet hash:
- e3f1b2e433fcb3024aa2dd52c482cc24cfbfbd1601cb303c6d7d5b510e5b8fdf
- Size of remote file:
- 123 kB
- SHA256:
- 1d8110599848c6bec5d15f1a09ac70f098827de9d3d3690848ca4cc74179c75a
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