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:
- 5aea1bac9f850e48bf8dd3b9925063e9b4b0f9733b542c19a76de8efaf019d0f
- Size of remote file:
- 101 MB
- SHA256:
- 6a12d92d1586b94f6c4de813455d2cf023275791277454ab4c11ff24c3a4085a
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