Instructions to use palra47906/Sound_Classification_model_using_CNN with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Keras
How to use palra47906/Sound_Classification_model_using_CNN with Keras:
# Available backend options are: "jax", "torch", "tensorflow". import os os.environ["KERAS_BACKEND"] = "jax" import keras model = keras.saving.load_model("hf://palra47906/Sound_Classification_model_using_CNN") - Notebooks
- Google Colab
- Kaggle
Upload urbansound8k_cnn.h5
Browse filesk datasetIt's a CNN based sequential model for UrbanSound8K dataset
- urbansound8k_cnn.h5 +3 -0
urbansound8k_cnn.h5
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version https://git-lfs.github.com/spec/v1
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oid sha256:fcfcad7510e5b72a1d4a9541eab57516752d00c783c5f9fe5bd24adce4934dcd
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size 83825096
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