Instructions to use EAF-Research/gemma2_2b_educational_code with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use EAF-Research/gemma2_2b_educational_code with Transformers:
# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("EAF-Research/gemma2_2b_educational_code", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Unsloth Desktop
- Xet hash:
- c255ff9e9c4c7e1fa5e7e518da211df79c35756f5f689a73f26796321e9e6457
- Size of remote file:
- 166 MB
- SHA256:
- 3b5bc105bd3bfeea14b023e5176c524c5b839f30409c895813340da6dfe8e454
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