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:
- d5b7b72de6d15ebd87c8b38ecea8826a9b436062002271c6d71e1ebd36ff71b5
- Size of remote file:
- 5.27 kB
- SHA256:
- a5ff034389e9a67155d217415b12856bc9b32fd7c14bb45893b261a1d22aa5ef
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.