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
Model save
Browse files
README.md
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- trackio:https://ssdataanalysis-mlintern-heb4.hf.space?project=huggingface&runs=ssdataanalysis-gemma-4-E2B-hebrew-first-optimal&sidebar=collapsed
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- sft
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licence: license
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## Training procedure
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This model was trained with SFT.
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licence: license
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## Training procedure
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This model was trained with SFT.
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