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:
- 384b567de24b6a28453632aa81064450aa03daf0b4767050e7c6168ec5e65479
- Size of remote file:
- 14.6 kB
- SHA256:
- 098b29492211804ab324a36f37466821d948280bb74fce4ba895c03f13ecd878
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