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
| { | |
| "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" | |
| } | |