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:
# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("JuzeZhang/ViBES-Face", dtype="auto") - Notebooks
- Google Colab
- Kaggle
File size: 263 Bytes
dfbcaf5 | 1 2 3 4 5 6 | {
"expert": "motion",
"format": "expert1_only",
"base": "glm-4-voice-9b",
"note": "Contains ONLY the trained motion expert (Expert 1). Expert 0 (text/audio) == the GLM-4-Voice base; reconstruct + merge via training/expert_io.py:load_expert1_checkpoint."
} |