Instructions to use ibru/bobo_groot_model_2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use ibru/bobo_groot_model_2 with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("nvidia/GR00T-N1-2B") model = PeftModel.from_pretrained(base_model, "ibru/bobo_groot_model_2") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 698e453dd314f1e21692ea04f856fbfcaefb8bfd7f02cb0077118f2ad2558a5f
- Size of remote file:
- 247 MB
- SHA256:
- 9ad32bb3d96b18cea81c96706e55c3f0274fe8934bf448fe2deafe2a9018c02e
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.