Instructions to use herooooooooo/functiongemma_test_version with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use herooooooooo/functiongemma_test_version with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("herooooooooo/functiongemma_test_version", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Unsloth Desktop
Download adapter_model.safetensors from herooooooooo/functiongemma_test_version: direct link, hf CLI and curl.
- Browser
- Download file 122 MB
-
https://huggingface.co/herooooooooo/functiongemma_test_version/resolve/main/adapter_model.safetensors
- Command line
-
hf download hf://herooooooooo/functiongemma_test_version/adapter_model.safetensors
-
curl -L -o adapter_model.safetensors https://huggingface.co/herooooooooo/functiongemma_test_version/resolve/main/adapter_model.safetensors
122 MB
- Xet hash:
- e6be5ce5c11985735b460f6b09f48bb13fd7948488da6b7c6d89d7a5210eeae5
- Size of remote file:
- 122 MB
- SHA256:
- 2d1122ee61bfd0497f55622627291ae20398457e2a397210dc54e326c2aacfc9
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.