Instructions to use ssdataanalysis/gemma-4-E2B-hebrew-first with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use ssdataanalysis/gemma-4-E2B-hebrew-first with Transformers:
# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("ssdataanalysis/gemma-4-E2B-hebrew-first", dtype="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- c345be401986864a9b4c3284a5a5880bfc7325a3908148b6263635a835389c7e
- Size of remote file:
- 5.78 kB
- SHA256:
- 787bd8652bc8be71afb5158bee57bf2ccf197e8edcc5b150993e5cd2b0ed6f10
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