Instructions to use emilykang/Gemma_medmcqa_question_generation-anatomy_lora with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use emilykang/Gemma_medmcqa_question_generation-anatomy_lora with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("google/gemma-2b") model = PeftModel.from_pretrained(base_model, "emilykang/Gemma_medmcqa_question_generation-anatomy_lora") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 3d543592b4cbf1c4c6a87abd60eb3572c9eba7c5b16b7e934a02ad6e00e769c2
- Size of remote file:
- 78.5 MB
- SHA256:
- 09131728037f202e72893974469295843b47aba5a02f313e60731251e69b911a
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