Instructions to use Eddie-L/functiongemma-270m-it-simple-tool-calling with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Eddie-L/functiongemma-270m-it-simple-tool-calling with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("Eddie-L/functiongemma-270m-it-simple-tool-calling", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download tokenizer.json from Eddie-L/functiongemma-270m-it-simple-tool-calling: direct link, hf CLI and curl.
- Browser
- Download file 33.4 MB
-
https://huggingface.co/Eddie-L/functiongemma-270m-it-simple-tool-calling/resolve/main/tokenizer.json
- Command line
-
hf download hf://Eddie-L/functiongemma-270m-it-simple-tool-calling/tokenizer.json
-
curl -L -o tokenizer.json https://huggingface.co/Eddie-L/functiongemma-270m-it-simple-tool-calling/resolve/main/tokenizer.json
33.4 MB
- Xet hash:
- 74f7059f05cfcc5dc6a2016f18c62e60e864f3dfefd2b33bdc4a8d55effed320
- Size of remote file:
- 33.4 MB
- SHA256:
- 80d7f800b949accd7eb940bac75e642f9468e4df157403032a55bf54ed23b650
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