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:
- 062b59a29a1fae2a165f8eec79b7771ce7a8ccfe0b05509613d33633edf26789
- Size of remote file:
- 2.48 GB
- SHA256:
- 29a51bb345dfca5ce99d68a6c980fb6b3782b1f381a640c294f403a684ba141e
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