Transformers
PyTorch
Safetensors
pyannet
speaker-diarization
speaker-segmentation
Generated from Trainer
Instructions to use Khanh17/toadam-segmentation-model with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Khanh17/toadam-segmentation-model with Transformers:
# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("Khanh17/toadam-segmentation-model", device_map="auto") - Notebooks
- Google Colab
- Kaggle
File size: 365 Bytes
7d9b0c0 | 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 | {
"architectures": [
"SegmentationModel"
],
"chunk_duration": 10.0,
"dtype": "float32",
"max_speakers_per_chunk": 3,
"max_speakers_per_frame": 2,
"min_duration": null,
"model_type": "pyannet",
"sample_rate": 16000,
"transformers_version": "5.0.0",
"use_cache": false,
"warm_up": [
0.0,
0.0
],
"weigh_by_cardinality": false
}
|