Instructions to use JorisCos/VAD_Net with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Asteroid
How to use JorisCos/VAD_Net with Asteroid:
from asteroid.models import BaseModel model = BaseModel.from_pretrained("JorisCos/VAD_Net") - Notebooks
- Google Colab
- Kaggle
Download pytorch_model.bin from JorisCos/VAD_Net: direct link, hf CLI and curl.
- Browser
- Download file 12.8 MB
-
https://huggingface.co/JorisCos/VAD_Net/resolve/main/pytorch_model.bin
- Command line
-
hf download hf://JorisCos/VAD_Net/pytorch_model.bin
-
curl -L -o pytorch_model.bin https://huggingface.co/JorisCos/VAD_Net/resolve/main/pytorch_model.bin
12.8 MB
- Xet hash:
- ee62f45e90ed959b3ec4a6ca0c9108cd4a9ca74f5a6fd5dae160a3bb457be721
- Size of remote file:
- 12.8 MB
- SHA256:
- 2fa7cc10c60e2bc94708ac9d8ec546baea1bb466738bb89adc89844d07a4e242
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.