Instructions to use RohithMidigudla/gemma-health-telugu-medical-mix-h1-30-h2-70-lora with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use RohithMidigudla/gemma-health-telugu-medical-mix-h1-30-h2-70-lora with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("unsloth/gemma-4-E4B-it") model = PeftModel.from_pretrained(base_model, "RohithMidigudla/gemma-health-telugu-medical-mix-h1-30-h2-70-lora") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 5ec24d98f5c4d6321f0de529dad78e688217b5ec4f4f38e087361cb9feb801a8
- Size of remote file:
- 170 MB
- SHA256:
- cadb299fd9044c21319a583200287ad4e92cdbb632c8f5295ef12b8c5e035c50
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