Instructions to use jweston/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 jweston/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("jweston/gemma-2-2B-it-thinking-function_calling-V0", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download adapter_model.safetensors from jweston/gemma-2-2B-it-thinking-function_calling-V0: direct link, hf CLI and curl.
- Browser
- Download file 2.48 GB
-
https://huggingface.co/jweston/gemma-2-2B-it-thinking-function_calling-V0/resolve/main/adapter_model.safetensors
- Command line
-
hf download hf://jweston/gemma-2-2B-it-thinking-function_calling-V0/adapter_model.safetensors
-
curl -L -o adapter_model.safetensors https://huggingface.co/jweston/gemma-2-2B-it-thinking-function_calling-V0/resolve/main/adapter_model.safetensors
2.48 GB
- Xet hash:
- c6befe790ebea3624cb49fc18ae427384311c81010ae20ba4bc4216fa92e8d35
- Size of remote file:
- 2.48 GB
- SHA256:
- dd89fc1d433bf89bc71c91f0a7373d5cdd7df7989f5189d429f9ab4a2f437421
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