Instructions to use Vurtnec/livekit-eot-finetuned with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Vurtnec/livekit-eot-finetuned with Transformers:
# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("Vurtnec/livekit-eot-finetuned", dtype="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 04042b8945515a56eac90a9fbb197f5e050d44bc297316375e4596a5dc42ec79
- Size of remote file:
- 6.29 kB
- SHA256:
- b205e71b5c067669eae8cc86e83f8d245685b6a1286ecb6456f3f58b8d2b6efd
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.