Instructions to use JiriG/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 JiriG/gemma-2-2B-it-thinking-function_calling-V0 with Transformers:
# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("JiriG/gemma-2-2B-it-thinking-function_calling-V0", dtype="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 8c839c98bc7a3761fd1ba640fcab6329b2925f4a905e275aec733b585b0b968d
- Size of remote file:
- 5.62 kB
- SHA256:
- 798d26e096ef229cee78a1a1e829b9f15107ed4a002337a9da7dc48f4fd828aa
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