Instructions to use jweston/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 jweston/gemma-2-2B-it-thinking-function_calling-V0 with Transformers:
# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("jweston/gemma-2-2B-it-thinking-function_calling-V0", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- d63487104a48cb7ca51f0246eb5b6a07d48e6f54cbfc7c48995e5e387a24652e
- Size of remote file:
- 6.29 kB
- SHA256:
- d2331ae376ba3e60913bbcf2893f764dcd1e22c1ad16dc44bddec20583d98e8e
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