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 metadata.json from vkushwahaa/Audio_CNN1D: direct link, hf CLI and curl.
- Browser
- Download file 63 Bytes
-
https://huggingface.co/vkushwahaa/Audio_CNN1D/resolve/main/metadata.json
- Command line
-
hf download hf://vkushwahaa/Audio_CNN1D/metadata.json
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curl -L -o metadata.json https://huggingface.co/vkushwahaa/Audio_CNN1D/resolve/main/metadata.json
63 Bytes
| {"keras_version": "3.5.0", "date_saved": "2025-04-27@16:45:28"} |