Transformers
Safetensors
Bengali
pyannet
speaker-diarization
speaker-segmentation
bangla
bengali
pyannote
audio
Generated from Trainer
Instructions to use Sam3000/bangla-segment with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Sam3000/bangla-segment with Transformers:
# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("Sam3000/bangla-segment", dtype="auto") - Notebooks
- Google Colab
- Kaggle
| version: 3.1.0 | |
| pipeline: | |
| name: pyannote.audio.pipelines.SpeakerDiarization | |
| params: | |
| clustering: AgglomerativeClustering | |
| embedding: pyannote/wespeaker-voxceleb-resnet34-LM | |
| embedding_batch_size: 32 | |
| embedding_exclude_overlap: true | |
| segmentation: Sam3000/bangla-segment | |
| segmentation_batch_size: 32 | |
| params: | |
| clustering: | |
| method: centroid | |
| min_cluster_size: 12 | |
| threshold: 0.7045654963945799 | |
| segmentation: | |
| min_duration_off: 0.0 | |