Instructions to use mimiminsoo/groot_h10 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use mimiminsoo/groot_h10 with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("/home/minsoo/.cache/huggingface/hub/models--nvidia--GR00T-N1.5-3B/snapshots/869830fc749c35f34771aa5209f923ac57e4564e") model = PeftModel.from_pretrained(base_model, "mimiminsoo/groot_h10") - Transformers
How to use mimiminsoo/groot_h10 with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("mimiminsoo/groot_h10", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download optimizer.pt from mimiminsoo/groot_h10: direct link, hf CLI and curl.
- Browser
- Download file 52.5 MB
-
https://huggingface.co/mimiminsoo/groot_h10/resolve/main/optimizer.pt
- Command line
-
hf download hf://mimiminsoo/groot_h10/optimizer.pt
-
curl -L -o optimizer.pt https://huggingface.co/mimiminsoo/groot_h10/resolve/main/optimizer.pt
52.5 MB
- Xet hash:
- dec5807e92d873197031af6cb0b898b85e4e2c5e0674207e868c03a70c5414c0
- Size of remote file:
- 52.5 MB
- SHA256:
- 4a528a4ea24e84bf1da70af9ccf55ce4d7b04c5e2fda7c3d9036e58f97518822
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