Instructions to use merve/gemma-3n-finevideo with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use merve/gemma-3n-finevideo with Transformers:
# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("merve/gemma-3n-finevideo", dtype="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 1990ebab05e5fe5531a36a03eb5c69d8f926858cf410f667e0c5dedcbdb53b92
- Size of remote file:
- 33.4 MB
- SHA256:
- ed504d44c6898db6d71f4abf77cf8e12a9ee3ac90bb1aec0e1edc012c4251b23
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