Instructions to use ibru/bobo_groot_model_3 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use ibru/bobo_groot_model_3 with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("/home/ibru/.cache/huggingface/hub/models--nvidia--GR00T-N1-2B/snapshots/32e1fd2507f7739fad443e6b449c8188e0e02fcb") model = PeftModel.from_pretrained(base_model, "ibru/bobo_groot_model_3") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 447b4ef91b81181f41a5cd9bbcb62df19edf3611ce34134804a97b2dd5a4a70e
- Size of remote file:
- 247 MB
- SHA256:
- 966d8eba7e9f6914af3c034180162ba8b578539b1dea3c2c1fa152a1e0b2c880
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