Instructions to use rmdhirr/gemma-sunda-java with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use rmdhirr/gemma-sunda-java with Transformers:
# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("rmdhirr/gemma-sunda-java", dtype="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 0aa5b0617a8b77778b198ecdc73970f7a26bf85ddab5a18fd32b1c0b01231b3d
- Size of remote file:
- 5.62 kB
- SHA256:
- 5d0866b3d68da3748dc9f09ec74e0c90ff186f6e1807b6dd9d5e8dbbf6a8757c
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