Instructions to use afrias5/codeGemma-7bScore-56 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use afrias5/codeGemma-7bScore-56 with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("google/codegemma-7b") model = PeftModel.from_pretrained(base_model, "afrias5/codeGemma-7bScore-56") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- dbae0ddd9b5861807161944e6c2bc1ccb716f1801edfd9a93d8a4f4a83cc6632
- Size of remote file:
- 34.4 MB
- SHA256:
- d964a2c8346d40f95791533eae48730d5f163c2e65fd16333560fd3e661df318
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