Instructions to use emmac/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 emmac/gemma-2-2B-it-thinking-function_calling-V0 with Transformers:
# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("emmac/gemma-2-2B-it-thinking-function_calling-V0", dtype="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 398b00237a896340b9393d814243aee879a879c89edcf343f2ded4171e1cd831
- Size of remote file:
- 6.29 kB
- SHA256:
- 7c4ae45e5c85a5ddc74d6424ac562a77f6ae50fddc2c42d9080f4ab0ae584cd4
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