Instructions to use JuzeZhang/ViBES-Face with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use JuzeZhang/ViBES-Face with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("JuzeZhang/ViBES-Face", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Commit History
-
Switch to Expert-1-only (motion) checkpoint: 19.95GB -> 0.86GB; loaders merge with GLM-4-Voice base (bit-identical)
Verified signaturedfbcaf5
-
Upload model.safetensors.index.json
Verified signature1d367f0 -
Upload 3 files
Verified signature385543b -
Upload 2 files
Verified signature46b730a
-
initial commit
Verified signature10e0c5d