Instructions to use andersoncliffb/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 andersoncliffb/gemma-2-2B-it-thinking-function_calling-V0 with Transformers:
# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("andersoncliffb/gemma-2-2B-it-thinking-function_calling-V0", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 4409e5588c4abb2b047f899229d213972b6e732819b4ce1407f96050a9534f7f
- Size of remote file:
- 5.62 kB
- SHA256:
- d02ce0c82efdd78419b51d4ddeb85d6c9db93c463ef7f9511a2fbfb06123008a
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