Instructions to use palra47906/Sound_Classification_Model_using_CNN_LSTM 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_LSTM 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_LSTM") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 4e518354bc3108bf6dd21cd558f7eeba5ae08551cef8377c6dca876e25a65bf1
- Size of remote file:
- 51.4 MB
- SHA256:
- f6454c196c6b87c2325df8edcdea65383c527bb5df15ba2fb535f514ef2b9614
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