Transformers
TensorBoard
Safetensors
Bengali
pyannet
speaker-diarization
speaker-segmentation
bangla
bengali
pyannote
audio
Generated from Trainer
Instructions to use Sam3000/OUTPUT_DIR with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Sam3000/OUTPUT_DIR with Transformers:
# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("Sam3000/OUTPUT_DIR", dtype="auto") - Notebooks
- Google Colab
- Kaggle
File size: 368 Bytes
9b58a75 | 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": "4.46.3",
"warm_up": [
0.0,
0.0
],
"weigh_by_cardinality": false
}
|