Instructions to use Austin207/voice-fan-controller-model with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Keras
How to use Austin207/voice-fan-controller-model with Keras:
# Available backend options are: "jax", "torch", "tensorflow". import os os.environ["KERAS_BACKEND"] = "jax" import keras model = keras.saving.load_model("hf://Austin207/voice-fan-controller-model") - Notebooks
- Google Colab
- Kaggle
| { | |
| "sample_rate_hz": 20000, | |
| "capture_window_ms": 1600, | |
| "n_mfcc": 20, | |
| "n_mels": 40, | |
| "n_fft": 512, | |
| "hop_length": 256, | |
| "fmin": 125, | |
| "fmax": 7500, | |
| "n_segments": 8, | |
| "channels": [ | |
| "mfcc", | |
| "delta", | |
| "delta2" | |
| ], | |
| "global_stats": [ | |
| "mean", | |
| "std", | |
| "p5", | |
| "p95" | |
| ], | |
| "segment_stats": [ | |
| "mean", | |
| "std" | |
| ], | |
| "full_dim": 1200, | |
| "clip_sigma": 4.0, | |
| "note": "1200 = 60 streams (20 mfcc + 20 delta + 20 delta2) x (4 global + 8*2 segment) stats", | |
| "input_dim": 48, | |
| "select_k": 48, | |
| "hidden": 32, | |
| "num_classes": 18, | |
| "labels": [ | |
| "_silence_", | |
| "_unknown_", | |
| "power_on", | |
| "power_off", | |
| "speed_1", | |
| "speed_2", | |
| "speed_3", | |
| "speed_4", | |
| "speed_5", | |
| "speed_6", | |
| "mode_boost", | |
| "mode_nature", | |
| "mode_reverse", | |
| "mode_smart", | |
| "timer_off", | |
| "timer_2h", | |
| "timer_4h", | |
| "timer_8h" | |
| ], | |
| "val_float_acc": 0.9346, | |
| "val_int8_acc": 0.9308, | |
| "seed": 1, | |
| "int8_bytes": 4400 | |
| } |