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
- Xet hash:
- ddea9f3530714c877e5750059e5d602de15c2d6950e0728c007f086f74d2e882
- Size of remote file:
- 5.91 MB
- SHA256:
- 63958a601035b6f19976cee080cdcc660b2ff3c2fb26d83f05ec0570f47b994b
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.