Instructions to use seanrobbins/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 seanrobbins/gemma-2-2B-it-thinking-function_calling-V0 with Transformers:
# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("seanrobbins/gemma-2-2B-it-thinking-function_calling-V0", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 62b20bdaddcc535c4bf3181bbf892f6853b7aaf093fd05c3185135f54c1670f5
- Size of remote file:
- 5.62 kB
- SHA256:
- adca44424d83432520a81411b1a66937a6a71c0d1802a7288d1d50fd2c565ed9
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