Instructions to use nrahal/gemma-2-2B-it-thinking-function_calling-V0 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use nrahal/gemma-2-2B-it-thinking-function_calling-V0 with Transformers:
# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("nrahal/gemma-2-2B-it-thinking-function_calling-V0", dtype="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- d6ae9df0b55aba13c1e2dede725f2e916bd3d0ce8b469a5a7a4487a5d6a2aa72
- Size of remote file:
- 5.62 kB
- SHA256:
- 3cf27f5bbad763bf58f40c753d85e78aac2dbc276e8d84fd06ddf38c209f2184
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