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:
- 3e3afa2fc45884c273bea59910d7e02363874e64359485743fc28434d3b8122d
- Size of remote file:
- 51.4 MB
- SHA256:
- cf4a9f4135fae24ff12b4d3e06d6612e273c216c9bdc6481c1d238a833349268
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