Instructions to use yangao381/FlowerTune-Medical-gemma-2-9b-PEFT with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use yangao381/FlowerTune-Medical-gemma-2-9b-PEFT with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("google/gemma-2-9b") model = PeftModel.from_pretrained(base_model, "yangao381/FlowerTune-Medical-gemma-2-9b-PEFT") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 7271950e0412a26866fcf7351a2b879cfb929ac8c1791cfde1ed90e7c3e778c1
- Size of remote file:
- 139 MB
- SHA256:
- ad9213e04dece01492963461117244eb2ec9cefd26a634bc13aa5e7b420d6f7b
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