Instructions to use vikaskapur/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 vikaskapur/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("vikaskapur/gemma-2-2B-it-thinking-function_calling-V0", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download training_args.bin from vikaskapur/gemma-2-2B-it-thinking-function_calling-V0: direct link, hf CLI and curl.
- Browser
- Download file 5.62 kB
-
https://huggingface.co/vikaskapur/gemma-2-2B-it-thinking-function_calling-V0/resolve/main/training_args.bin
- Command line
-
hf download hf://vikaskapur/gemma-2-2B-it-thinking-function_calling-V0/training_args.bin
-
curl -L -o training_args.bin https://huggingface.co/vikaskapur/gemma-2-2B-it-thinking-function_calling-V0/resolve/main/training_args.bin
5.62 kB
- Xet hash:
- 183eda256565b1fd64b421e297ed5f2cf5c3ca871df3e4ab8a1df7dd678161a2
- Size of remote file:
- 5.62 kB
- SHA256:
- e21f7faaa6fa898c2266dc5b6c8b7ddb830ca2d628185d7e509c13a65444697d
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