Instructions to use rjac/gemma-2-2B-it-thinking-function_calling-d with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use rjac/gemma-2-2B-it-thinking-function_calling-d with Transformers:
# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("rjac/gemma-2-2B-it-thinking-function_calling-d", dtype="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- aba63b88b9837517d66fce434dafda85c5208b2dd482dd9cd8fd2272f6c778cf
- Size of remote file:
- 5.62 kB
- SHA256:
- a40cef6e79d2aa03b5c42ea767659500528691e41052790326c98a0dabbb2f3f
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