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:
- 91480cfef423b04be801a5da51542180dee38280681cfa1fcd28a32de5094814
- Size of remote file:
- 4.7 MB
- SHA256:
- ea5f0cc48abfbfc04d14562270a32e02149a3e7035f368cc5a462786f4a59961
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