Transformers
PyTorch
Safetensors
English
pyannet
speaker-diarization
speaker-segmentation
Generated from Trainer
Instructions to use JSWOOK/pyannote_3_fine_tuning with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use JSWOOK/pyannote_3_fine_tuning with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("JSWOOK/pyannote_3_fine_tuning", device_map="auto") - Notebooks
- Google Colab
- Kaggle
File size: 350 Bytes
c1f6182 | 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 | {
"architectures": [
"SegmentationModel"
],
"chunk_duration": 10.0,
"max_speakers_per_chunk": 3,
"max_speakers_per_frame": 2,
"min_duration": null,
"model_type": "pyannet",
"sample_rate": 16000,
"torch_dtype": "float32",
"transformers_version": "4.44.2",
"warm_up": [
0.0,
0.0
],
"weigh_by_cardinality": false
}
|