Instructions to use Devavrat28/Gemmarathi2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use Devavrat28/Gemmarathi2 with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("unsloth/gemma-2-9b-bnb-4bit") model = PeftModel.from_pretrained(base_model, "Devavrat28/Gemmarathi2") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 162fae5d159542ce23e3edb50aef9835fb2eef84fead96f4b8fa4b8983b8be80
- Size of remote file:
- 34.4 MB
- SHA256:
- bfdfe303612d5b0ed4e80559acce821f7e7f310308a3ed908cad92b0fac87a18
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