Instructions to use arthurmello/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 arthurmello/gemma-2-2B-it-thinking-function_calling-V0 with Transformers:
# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("arthurmello/gemma-2-2B-it-thinking-function_calling-V0", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download training_args.bin from arthurmello/gemma-2-2B-it-thinking-function_calling-V0: direct link, hf CLI and curl.
- Browser
- Download file 5.69 kB
-
https://huggingface.co/arthurmello/gemma-2-2B-it-thinking-function_calling-V0/resolve/main/training_args.bin
- Command line
-
hf download hf://arthurmello/gemma-2-2B-it-thinking-function_calling-V0/training_args.bin
-
curl -L -o training_args.bin https://huggingface.co/arthurmello/gemma-2-2B-it-thinking-function_calling-V0/resolve/main/training_args.bin
5.69 kB
- Xet hash:
- 743848ed2f59bfdb79bafcd003a79cfb8d27dcff946e8ea927d8d9aebf0615f5
- Size of remote file:
- 5.69 kB
- SHA256:
- 5b9d0aa8eb0a2363829f8054bfb5261f282b9257357dcafa7587399d1c16a6a1
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.