Instructions to use dfm794/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 dfm794/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("dfm794/gemma-2-2B-it-thinking-function_calling-V0", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download training_args.bin from dfm794/gemma-2-2B-it-thinking-function_calling-V0: direct link, hf CLI and curl.
- Browser
- Download file 5.62 kB
-
https://huggingface.co/dfm794/gemma-2-2B-it-thinking-function_calling-V0/resolve/main/training_args.bin
- Command line
-
hf download hf://dfm794/gemma-2-2B-it-thinking-function_calling-V0/training_args.bin
-
curl -L -o training_args.bin https://huggingface.co/dfm794/gemma-2-2B-it-thinking-function_calling-V0/resolve/main/training_args.bin
5.62 kB
- Xet hash:
- 162ffa5fa5d5547ef39a0e3b26c3892a3182704b73c503063cd2317235dc6ee7
- Size of remote file:
- 5.62 kB
- SHA256:
- 666d10c8fcaac9ecb7a603c676cf149083782bacdd947bb21f28acd79ae85565
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