Instructions to use SHIHAORAN/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 SHIHAORAN/gemma-2-2B-it-thinking-function_calling-V0 with Transformers:
# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("SHIHAORAN/gemma-2-2B-it-thinking-function_calling-V0", dtype="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- eb3a09370d0d91f921dcbf8d4c3dd4726da9b054eb51ef301f1ae1f126266104
- Size of remote file:
- 5.69 kB
- SHA256:
- 2d7e67ad6efe3fe707540704fc59bec30df6be6670e7c0d736bd4820b62cc315
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.