Instructions to use lmassaron/gemma-3-1B-it-function_calling with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use lmassaron/gemma-3-1B-it-function_calling with Transformers:
# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("lmassaron/gemma-3-1B-it-function_calling", dtype="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- d8f94c06928fd9c9e5049af4455004ab9118925f24a9f616a383e8fd3b49e1cc
- Size of remote file:
- 6.16 kB
- SHA256:
- 2d92dc56ef884e150175f056e4f940c468c840b76c5ef1b826eb8610b9220304
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