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 model_hyperparameters.json from shapermindai/code-gemma-7b: direct link, hf CLI and curl.
- Browser
- Download file 19 MB
-
https://huggingface.co/shapermindai/code-gemma-7b/resolve/main/model_hyperparameters.json
- Command line
-
hf download hf://shapermindai/code-gemma-7b/model_hyperparameters.json
-
curl -L -o model_hyperparameters.json https://huggingface.co/shapermindai/code-gemma-7b/resolve/main/model_hyperparameters.json
19 MB
- Xet hash:
- ce33f7de374e4b8cd6a9066f636f81ad7360b10c764bd9f6586262991b77f071
- Size of remote file:
- 19 MB
- SHA256:
- 4304c8388a9135356a29d8191eb39d16c7d9cfb8ea06396d14ab14150685deff
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