Instructions to use gbv/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 gbv/gemma-2-2B-it-thinking-function_calling-V0 with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("gbv/gemma-2-2B-it-thinking-function_calling-V0", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download training_args.bin from gbv/gemma-2-2B-it-thinking-function_calling-V0: direct link, hf CLI and curl.
- Browser
- Download file 5.62 kB
-
https://huggingface.co/gbv/gemma-2-2B-it-thinking-function_calling-V0/resolve/main/training_args.bin
- Command line
-
hf download hf://gbv/gemma-2-2B-it-thinking-function_calling-V0/training_args.bin
-
curl -L -o training_args.bin https://huggingface.co/gbv/gemma-2-2B-it-thinking-function_calling-V0/resolve/main/training_args.bin
5.62 kB
- Xet hash:
- 4262f4c168b259bd3674acc396f5103cf3f86e39b47aa3f7ba55a76aa44ff34c
- Size of remote file:
- 5.62 kB
- SHA256:
- 18f99f418619b029cb0babb4dea30edf2a1ac9e5d00e0198f8d3f43d52fe4988
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