Robotics
PEFT
Safetensors
English
Chinese
vla
vision-language-action
spatial-reasoning
embodied-ai
robot-navigation
world-action-model
Instructions to use FINWHALE/Wukong with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use FINWHALE/Wukong with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("unsloth/qwen2.5-vl-7b-instruct-unsloth-bnb-4bit") model = PeftModel.from_pretrained(base_model, "FINWHALE/Wukong") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 736e776db4d2e95447b76dfe33d7894bc576ba66ccfdf8f7aaafbd8372bd0c9c
- Size of remote file:
- 11.4 MB
- SHA256:
- f3935a49a7df24c1b6f4ba6b4e168556aa2de3d96d7dcb9c6e5b198f6f536510
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