Instructions to use Valentin71/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 Valentin71/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("Valentin71/gemma-2-2B-it-thinking-function_calling-V0", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download training_args.bin from Valentin71/gemma-2-2B-it-thinking-function_calling-V0: direct link, hf CLI and curl.
- Browser
- Download file 5.62 kB
-
https://huggingface.co/Valentin71/gemma-2-2B-it-thinking-function_calling-V0/resolve/main/training_args.bin
- Command line
-
hf download hf://Valentin71/gemma-2-2B-it-thinking-function_calling-V0/training_args.bin
-
curl -L -o training_args.bin https://huggingface.co/Valentin71/gemma-2-2B-it-thinking-function_calling-V0/resolve/main/training_args.bin
5.62 kB
- Xet hash:
- 888ec881beccaf5a0ddf872e2355cb52c1aa71d770d8a9945a1677a258ef16f0
- Size of remote file:
- 5.62 kB
- SHA256:
- 88cfea226f488cba0361d0d2dfcc509e7218e937d34313bf0c769bd4dd6f25f0
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