Instructions to use tjluyao/gemma-2b-math with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use tjluyao/gemma-2b-math with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("google/gemma-2b") model = PeftModel.from_pretrained(base_model, "tjluyao/gemma-2b-math") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 36734aa411eef267a3a02868647a3f413d4bf8ed4a254ed4353fc915474cc988
- Size of remote file:
- 5.11 kB
- SHA256:
- ce1639022e14ae61958f679cdc4ce0b3bad3256f033d17eae78b0f1efe27d276
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