Instructions to use robinrob92/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 robinrob92/gemma-2-2B-it-thinking-function_calling-V0 with Transformers:
# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("robinrob92/gemma-2-2B-it-thinking-function_calling-V0", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 769892bde5ccf8685d76d8f47ebce82efb5045409886dc182cbbc2b1c6cf7a9d
- Size of remote file:
- 5.62 kB
- SHA256:
- f9f89f9b9e9e5da3b1a4c24e5fd3142e41610e4e9a142556b0da15add461e35f
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.