Vision-Language-Time-World-Action model deployment based on Gemma 4 E2B.
VTLWA/
├── pyproject.toml
├── README.md
├── src/
│ └── gemma4_e2b_inference.py # Gemma 4 E2B inference script
└── cache/ # HuggingFace model cache
# Download model (if not already cached)
HF_ENDPOINT=https://hf-mirror.com HF_HOME=./cache python src/gemma4_e2b_inference.py --download-only
# Run inference
HF_ENDPOINT=https://hf-mirror.com HF_HOME=./cache python src/gemma4_e2b_inference.py --prompt "Your prompt here"
1 commits
Python
100.0%
Vision-Language-Time-World-Action model deployment based on Gemma 4 E2B.
VTLWA/
├── pyproject.toml
├── README.md
├── src/
│ └── gemma4_e2b_inference.py # Gemma 4 E2B inference script
└── cache/ # HuggingFace model cache
# Download model (if not already cached)
HF_ENDPOINT=https://hf-mirror.com HF_HOME=./cache python src/gemma4_e2b_inference.py --download-only
# Run inference
HF_ENDPOINT=https://hf-mirror.com HF_HOME=./cache python src/gemma4_e2b_inference.py --prompt "Your prompt here"
1 commits
Python
100.0%