Voice Activity Detection
MLX
Safetensors
pyannote-segmentation
speaker-segmentation
speaker-diarization
pyannote
apple-silicon
Instructions to use PapaMoth/Pyannote-Segmentation-MLX with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- MLX
How to use PapaMoth/Pyannote-Segmentation-MLX with MLX:
# Download the model from the Hub pip install huggingface_hub[hf_xet] huggingface-cli download --local-dir Pyannote-Segmentation-MLX PapaMoth/Pyannote-Segmentation-MLX
- Notebooks
- Google Colab
- Kaggle
- Local Apps
- LM Studio
File size: 644 Bytes
0b3f279 | 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 | {
"model_type": "pyannote-segmentation",
"sample_rate": 16000,
"sincnet": {
"n_filters": [
80,
60,
60
],
"kernel_sizes": [
251,
5,
5
],
"strides": [
10,
1,
1
],
"pool_sizes": [
3,
3,
3
]
},
"lstm": {
"hidden_size": 128,
"num_layers": 4,
"bidirectional": true
},
"linear": {
"hidden_size": 128,
"num_layers": 2
},
"num_classes": 7,
"max_speakers": 3,
"powerset_max_classes": 2,
"num_frames_per_chunk": 589,
"chunk_duration": 10.0,
"chunk_step_ratio": 0.1,
"warm_up": [
0.0,
0.0
]
} |