Instructions to use lmassaron/gemma-3-270M-it-function_calling with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use lmassaron/gemma-3-270M-it-function_calling with Transformers:
# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("lmassaron/gemma-3-270M-it-function_calling", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- dd7b3dd1ae5ea28ab43c88dd6eef888d4962ca03a6106ee933260df10f9bd302
- Size of remote file:
- 33.4 MB
- SHA256:
- b725c35c59e9b553a5ba40416108694df696dcd075a6320decdab080b815917f
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