Instructions to use pillIdentifierAI/snoringAI with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Keras
How to use pillIdentifierAI/snoringAI 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://pillIdentifierAI/snoringAI") - Notebooks
- Google Colab
- Kaggle
Download snore_detector.onnx from pillIdentifierAI/snoringAI: direct link, hf CLI and curl.
- Browser
- Download file 1.01 GB
-
https://huggingface.co/pillIdentifierAI/snoringAI/resolve/main/snore_detector.onnx
- Command line
-
hf download hf://pillIdentifierAI/snoringAI/snore_detector.onnx
-
curl -L -o snore_detector.onnx https://huggingface.co/pillIdentifierAI/snoringAI/resolve/main/snore_detector.onnx
1.01 GB
- Xet hash:
- 1f79f4228a17166d2d64801e19aeb57f440c806eb26398671caeb9926c74cae8
- Size of remote file:
- 1.01 GB
- SHA256:
- 9bd3cd3f56b7c7ccc30011ffc949fc3d68a97da02e55481f074461c194e45d11
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.