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
| { | |
| "labels": [ | |
| "background", | |
| "dog_bark", | |
| "alarm_siren", | |
| "door_event", | |
| "scream_shout" | |
| ], | |
| "label_to_id": { | |
| "background": 0, | |
| "dog_bark": 1, | |
| "alarm_siren": 2, | |
| "door_event": 3, | |
| "scream_shout": 4 | |
| }, | |
| "id_to_label": { | |
| "0": "background", | |
| "1": "dog_bark", | |
| "2": "alarm_siren", | |
| "3": "door_event", | |
| "4": "scream_shout" | |
| }, | |
| "missing_labels": [ | |
| "baby_cry", | |
| "glass_break" | |
| ], | |
| "canonical_labels": [ | |
| "background", | |
| "baby_cry", | |
| "dog_bark", | |
| "alarm_siren", | |
| "door_event", | |
| "glass_break", | |
| "scream_shout" | |
| ] | |
| } | |