Instructions to use shawhin/gemma-3-1b-tool-use with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use shawhin/gemma-3-1b-tool-use with Transformers:
# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("shawhin/gemma-3-1b-tool-use", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download adapter_model.safetensors from shawhin/gemma-3-1b-tool-use: direct link, hf CLI and curl.
- Browser
- Download file 52.2 MB
-
https://huggingface.co/shawhin/gemma-3-1b-tool-use/resolve/main/adapter_model.safetensors
- Command line
-
hf download hf://shawhin/gemma-3-1b-tool-use/adapter_model.safetensors
-
curl -L -o adapter_model.safetensors https://huggingface.co/shawhin/gemma-3-1b-tool-use/resolve/main/adapter_model.safetensors
52.2 MB
- Xet hash:
- af7d77063a68b1f334ac8140acedb8370c7feb79f31d14d4f69fe2744f390f88
- Size of remote file:
- 52.2 MB
- SHA256:
- 9b951b12e24423b65d7659b4658d6d614334aa62f3a8e6610f03e50daf6812f1
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