Instructions to use CXDJY/snore_ai with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Keras
How to use CXDJY/snore_ai 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://CXDJY/snore_ai") - Notebooks
- Google Colab
- Kaggle
Download saved_model.pb from CXDJY/snore_ai: direct link, hf CLI and curl.
- Browser
- Download file 105 kB
-
https://huggingface.co/CXDJY/snore_ai/resolve/main/saved_model.pb
- Command line
-
hf download hf://CXDJY/snore_ai/saved_model.pb
-
curl -L -o saved_model.pb https://huggingface.co/CXDJY/snore_ai/resolve/main/saved_model.pb
105 kB
- Xet hash:
- 853dac7c31b421693c2eda961ab31e2f9c281ea55a9b585b5a79c8a90435d431
- Size of remote file:
- 105 kB
- SHA256:
- 08cb522a5c2a324f12fe83de21ca2293ad6827e299ae5905508a220618605bdb
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