Instructions to use CaptainRapid/acoustic-alert-5class with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Keras
How to use CaptainRapid/acoustic-alert-5class with Keras:
# Available backend options are: "jax", "torch", "tensorflow". import os os.environ["KERAS_BACKEND"] = "jax" import keras model = keras.saving.load_model("hf://CaptainRapid/acoustic-alert-5class") - Notebooks
- Google Colab
- Kaggle
File size: 307 Bytes
23729a3 | 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 | {
"mean": -41.9937364935039,
"std": 17.41233292211895,
"feature_shape": [
64,
64
],
"sample_rate": 16000,
"clip_seconds": 2.0,
"n_mels": 64,
"n_fft": 1024,
"hop_length": 512,
"fmin": 50.0,
"fmax": 8000.0,
"power_to_db_ref": "np.max",
"feature_backend": "soundfile_scipy"
}
|