Transformers
PyTorch
TensorBoard
Safetensors
pyannet
speaker-diarization
speaker-segmentation
Generated from Trainer
Instructions to use syvai/speaker-segmentation with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use syvai/speaker-segmentation with Transformers:
# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("syvai/speaker-segmentation", dtype="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 3a36f066ca4cb54c67cfb9bf17f8024212aebbd8d9029f5c7bc6f7a968721db0
- Size of remote file:
- 5.91 MB
- SHA256:
- 1ad0f2f078b7ff6a4286eb656e0a5c0e66ce73a16936c9c79c519e3d23410bd9
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