Instructions to use renish1/gk with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use renish1/gk with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("unsloth/llama-3.2-1b-instruct-unsloth-bnb-4bit") model = PeftModel.from_pretrained(base_model, "renish1/gk") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 75f8831ed81e4ff1981fefaf36c41857d86b73666d21a61246aa6c7efcb7e4c7
- Size of remote file:
- 5.62 kB
- SHA256:
- 3ac78b61b0fd89b1740d728de3b3046f4c73686c32d51912830a86bf8da72128
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