Instructions to use Pisethan/plp-math-gemma with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use Pisethan/plp-math-gemma with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("google/gemma-3-27b-it") model = PeftModel.from_pretrained(base_model, "Pisethan/plp-math-gemma") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 8a8bff09bbf9df27f53859e933ddbce4b21fe6c3e364a41d9b4b1f2f28505859
- Size of remote file:
- 33.4 MB
- SHA256:
- 091e3cf7f0e56c10d7383f000a34ef2824e95368e43def66837540b0550b6f83
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