Instructions to use szang18/spatialvla-pickcube-20k with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use szang18/spatialvla-pickcube-20k with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("IPEC-COMMUNITY/spatialvla-4b-224-pt") model = PeftModel.from_pretrained(base_model, "szang18/spatialvla-pickcube-20k") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 025c242f9a396b291950c3f970717f2e959a81b85a656660e91db8f244f466f4
- Size of remote file:
- 16 kB
- SHA256:
- e746515df1af11066084c97a0b2d90c0978b135c67129f890fb8f9062eb02089
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