Instructions to use shapermindai/code-gemma-7b with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Adapters
How to use shapermindai/code-gemma-7b with Adapters:
from adapters import AutoAdapterModel model = AutoAdapterModel.from_pretrained("<base-model-id>") model.load_adapter("shapermindai/code-gemma-7b", set_active=True) - Notebooks
- Google Colab
- Kaggle
Download training_progress.json from shapermindai/code-gemma-7b: direct link, hf CLI and curl.
- Browser
- Download file 2.98 MB
-
https://huggingface.co/shapermindai/code-gemma-7b/resolve/main/training_progress.json
- Command line
-
hf download hf://shapermindai/code-gemma-7b/training_progress.json
-
curl -L -o training_progress.json https://huggingface.co/shapermindai/code-gemma-7b/resolve/main/training_progress.json
2.98 MB
File too large to display, you can check the raw version instead.