Instructions to use runfar/functiongemma with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use runfar/functiongemma with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("runfar/functiongemma", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Unsloth Desktop
Download adapter_model.safetensors from runfar/functiongemma: direct link, hf CLI and curl.
- Browser
- Download file 15.2 MB
-
https://huggingface.co/runfar/functiongemma/resolve/main/adapter_model.safetensors
- Command line
-
hf download hf://runfar/functiongemma/adapter_model.safetensors
-
curl -L -o adapter_model.safetensors https://huggingface.co/runfar/functiongemma/resolve/main/adapter_model.safetensors
15.2 MB
- Xet hash:
- 8e680bd23f3c40be652ca6c517ac0f59a29c97a3cc1c59d27203b306f162a1ad
- Size of remote file:
- 15.2 MB
- SHA256:
- 687f661409ee7b6bb1c5d5be43ad7872052079e185a92f8e20b21832a42f4cbe
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