Instructions to use tigerstride/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 tigerstride/gemma-2-2B-it-thinking-function_calling-V0 with Transformers:
# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("tigerstride/gemma-2-2B-it-thinking-function_calling-V0", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 3535e459bf1a90d96167e77a15331d3cfced367e95a05343177f47821dd70167
- Size of remote file:
- 5.62 kB
- SHA256:
- 037fbbc02c11b53234c31b90f443e96a2da0b3723b058105c5f7ebe4f25877ba
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