Instructions to use ssdataanalysis/gemma-4-E4B-hebrew-first with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use ssdataanalysis/gemma-4-E4B-hebrew-first with Transformers:
# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("ssdataanalysis/gemma-4-E4B-hebrew-first", dtype="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 269b95a9d55afbe05e6e63b223a9b3ee4706778d073c6734d31f91b1199c5ec5
- Size of remote file:
- 5.78 kB
- SHA256:
- 1825264bfd01257e2b2b68ce7866f1e7f2e1fe4698ffc9c4b22bf1f7523077d4
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