Instructions to use omkar334/codegemma_model with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use omkar334/codegemma_model with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("omkar334/codegemma_model", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Unsloth Desktop
Download adapter_model.safetensors from omkar334/codegemma_model: direct link, hf CLI and curl.
- Browser
- Download file 83.1 MB
-
https://huggingface.co/omkar334/codegemma_model/resolve/main/adapter_model.safetensors
- Command line
-
hf download hf://omkar334/codegemma_model/adapter_model.safetensors
-
curl -L -o adapter_model.safetensors https://huggingface.co/omkar334/codegemma_model/resolve/main/adapter_model.safetensors
83.1 MB
- Xet hash:
- 423832e4da0c420d88f2b66e542aa0385327289ce200845d3f6201a44a2ad83c
- Size of remote file:
- 83.1 MB
- SHA256:
- 9bab1e0e9810657aeaeda8d9e1c6885d6728eb3caf4c868a5a577875f331fbf8
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