Instructions to use vkushwahaa/Audio_CNN1D with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Keras
How to use vkushwahaa/Audio_CNN1D 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://vkushwahaa/Audio_CNN1D") - Notebooks
- Google Colab
- Kaggle
Download train_std.npy from vkushwahaa/Audio_CNN1D: direct link, hf CLI and curl.
- Browser
- Download file 55.4 kB
-
https://huggingface.co/vkushwahaa/Audio_CNN1D/resolve/main/train_std.npy
- Command line
-
hf download hf://vkushwahaa/Audio_CNN1D/train_std.npy
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curl -L -o train_std.npy https://huggingface.co/vkushwahaa/Audio_CNN1D/resolve/main/train_std.npy
55.4 kB
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