Instructions to use hanshan1988/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 hanshan1988/gemma-2-2B-it-thinking-function_calling-V0 with Transformers:
# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("hanshan1988/gemma-2-2B-it-thinking-function_calling-V0", dtype="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 5334acddf4085fea9d01aeb392dd124d6a4934059e1259747abd8e318bc5d431
- Size of remote file:
- 5.62 kB
- SHA256:
- 797951c59e449da14de4ed378d03a46a1395a4cbe00020812c4ba4bef0c8c301
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.