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
| set -e | |
| cd /tmp | |
| wget -q https://huggingface.co/ssdataanalysis/gemma-4-E2B-hebrew-first/raw/main/train.py -O train_hebrew.py | |
| python train_hebrew.py \ | |
| --model_id google/gemma-4-E2B-it \ | |
| --output_dir ssdataanalysis/gemma-4-E2B-hebrew-first \ | |
| --hebrew_ratio 0.5 \ | |
| --max_total 120000 | |